From ee433c57877552706c85da2e111808a12329355b Mon Sep 17 00:00:00 2001 From: Grant Fletcher Date: Sat, 9 May 2026 05:31:49 -0400 Subject: [PATCH 1/2] feat: add ai-assisted research tools --- README.md | 4 + ai-assisted-research-tools/README.md | 68 +++++ .../docs/demo-script.md | 8 + .../docs/demo/ai-assisted-research-tools.svg | 35 +++ ai-assisted-research-tools/package.json | 14 + ai-assisted-research-tools/public/app.js | 98 ++++++ ai-assisted-research-tools/public/index.html | 87 ++++++ ai-assisted-research-tools/public/styles.css | 288 ++++++++++++++++++ .../src/data/open-corpus.js | 127 ++++++++ ai-assisted-research-tools/src/research-ai.js | 288 ++++++++++++++++++ ai-assisted-research-tools/src/server.js | 69 +++++ .../test/research-ai.test.js | 45 +++ 12 files changed, 1131 insertions(+) create mode 100644 ai-assisted-research-tools/README.md create mode 100644 ai-assisted-research-tools/docs/demo-script.md create mode 100644 ai-assisted-research-tools/docs/demo/ai-assisted-research-tools.svg create mode 100644 ai-assisted-research-tools/package.json create mode 100644 ai-assisted-research-tools/public/app.js create mode 100644 ai-assisted-research-tools/public/index.html create mode 100644 ai-assisted-research-tools/public/styles.css create mode 100644 ai-assisted-research-tools/src/data/open-corpus.js create mode 100644 ai-assisted-research-tools/src/research-ai.js create mode 100644 ai-assisted-research-tools/src/server.js create mode 100644 ai-assisted-research-tools/test/research-ai.test.js diff --git a/README.md b/README.md index d338cf6..d0f6ab8 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,6 @@ # deepevents.ai deepevents.ai main codebase + +## Modules + +- [`ai-assisted-research-tools`](./ai-assisted-research-tools) - runnable prototype for AI paper summaries, peer review diagnostics, and citation recommendations for scientific manuscripts. diff --git a/ai-assisted-research-tools/README.md b/ai-assisted-research-tools/README.md new file mode 100644 index 0000000..599f0b7 --- /dev/null +++ b/ai-assisted-research-tools/README.md @@ -0,0 +1,68 @@ +# AI-Assisted Research Tools + +This module is a self-contained implementation for SCIBASE.AI issue #13. It provides a runnable MVP for three AI-assisted research workflows: paper summarization, peer review diagnostics, and citation recommendation. + +## What It Covers + +- AI Paper Summarizer + - Abstract, executive, and layperson summary modes. + - Domain-aware keyword extraction and manuscript profiling. + - Key findings, implications, and recommended next steps. +- AI Peer Review Aid + - Diagnostic report for similarity, grammar/clarity, statistical reporting, and compliance gaps. + - Domain templates for biology, physics, and social science. + - Checklist output for ethics, consent, data availability, uncertainty, and related statements. +- AI Citation Tool + - Context-aware citation retrieval from a local open-corpus fixture. + - APA, MLA, and Nature formatting. + - Similar-paper suggestions and manuscript insertion snippets. +- Browser demo and JSON API + - Static dashboard for reviewers. + - No external services, keys, seed funding, or paid APIs required. + +## Run Locally + +```bash +cd ai-assisted-research-tools +npm test +npm start +``` + +Then open `http://localhost:4128`. + +## API Surface + +- `GET /api/dashboard` returns the full manuscript profile, all summary modes, peer review report, and citation recommendations. +- `GET /api/summarize?mode=abstract|executive|layperson` returns one summary mode. +- `GET /api/review` returns the diagnostic peer review report. +- `GET /api/citations?style=APA|MLA|Nature` returns formatted citation recommendations. + +## Requirement Mapping + +- Concise summaries of repositories, preprints, or uploaded PDFs: implemented as manuscript section summarization in `src/research-ai.js`. +- Abstract, executive, and layperson modes: implemented by `summarizePaper`. +- Domain-aware output: implemented through keyword extraction, domain inference, and review templates. +- Key findings, implications, and next steps: returned by `summarizePaper`. +- Peer review diagnostic reports: implemented by `peerReviewAid`. +- Plagiarism/similarity, grammar/clarity, statistical, and compliance checks: implemented by dedicated detector functions in `src/research-ai.js`. +- Custom templates for biology, physics, and social science: configured in `src/data/open-corpus.js`. +- Citation recommendations from open corpora: implemented by `recommendCitations` using a local Semantic Scholar/arXiv/PubMed-style corpus fixture. +- APA, MLA, and Nature citation formatting: implemented by `formatCitation`. +- Similar papers widget and insert text: returned by `recommendCitations` and rendered in the browser dashboard. + +## Verification + +```bash +npm test +node src/server.js +``` + +Optional smoke checks: + +```bash +curl -s http://localhost:4128/api/dashboard +curl -s "http://localhost:4128/api/summarize?mode=layperson" +curl -s "http://localhost:4128/api/citations?style=Nature" +``` + +Demo artifacts are committed under `docs/demo/`. diff --git a/ai-assisted-research-tools/docs/demo-script.md b/ai-assisted-research-tools/docs/demo-script.md new file mode 100644 index 0000000..fc98c2e --- /dev/null +++ b/ai-assisted-research-tools/docs/demo-script.md @@ -0,0 +1,8 @@ +# Demo Script + +1. Run `npm test` to verify summarization, peer review, citation, and dashboard logic. +2. Run `npm start` and open `http://localhost:4128`. +3. Switch between Abstract, Executive, and Layperson summary modes. +4. Review the diagnostic report for similarity, statistics, compliance, and clarity findings. +5. Change the citation style selector and verify formatted APA, MLA, or Nature references. +6. Use the citation insert text shown on each recommendation as the manuscript insertion preview. diff --git a/ai-assisted-research-tools/docs/demo/ai-assisted-research-tools.svg b/ai-assisted-research-tools/docs/demo/ai-assisted-research-tools.svg new file mode 100644 index 0000000..aac70f5 --- /dev/null +++ b/ai-assisted-research-tools/docs/demo/ai-assisted-research-tools.svg @@ -0,0 +1,35 @@ + + AI-Assisted Research Tools demo dashboard + Static preview of the SCIBASE AI summarizer, peer review aid, and citation recommendation dashboard. + + SCIBASE.AI / ISSUE #13 + AI-Assisted Research Tools + + MANUSCRIPT + Organoid response model + + biology ยท 148 words + organoids, response, biomarkers, + confidence, validation + + AI PAPER SUMMARIZER + Domain-aware summaries + Executive summary highlights predictive signal, uncertainty gaps, + reproducibility needs, and next steps for prospective replication. + + AI PEER REVIEW AID + Diagnostic report + + Statistics: missing confidence intervals + + Compliance: missing ethics statement + + AI CITATION TOOL + Recommendations + Dose response profiling in organoids + Matches context for oncology, biomarkers, + dose response, and reproducible workflows. + + 40 + SCORE + diff --git a/ai-assisted-research-tools/package.json b/ai-assisted-research-tools/package.json new file mode 100644 index 0000000..968585e --- /dev/null +++ b/ai-assisted-research-tools/package.json @@ -0,0 +1,14 @@ +{ + "name": "@scibase/ai-assisted-research-tools", + "version": "0.1.0", + "private": true, + "description": "Self-contained AI-assisted research tooling prototype for SCIBASE.AI issue #13.", + "type": "module", + "scripts": { + "start": "node src/server.js", + "test": "node --test test/*.test.js" + }, + "engines": { + "node": ">=20" + } +} diff --git a/ai-assisted-research-tools/public/app.js b/ai-assisted-research-tools/public/app.js new file mode 100644 index 0000000..615c545 --- /dev/null +++ b/ai-assisted-research-tools/public/app.js @@ -0,0 +1,98 @@ +let dashboard; + +const elements = { + title: document.querySelector("#title"), + profile: document.querySelector("#profile"), + highlighted: document.querySelector("#highlighted"), + score: document.querySelector("#score"), + summary: document.querySelector("#summary"), + findings: document.querySelector("#findings"), + nextSteps: document.querySelector("#nextSteps"), + template: document.querySelector("#template"), + issues: document.querySelector("#issues"), + citations: document.querySelector("#citations"), + style: document.querySelector("#style") +}; + +async function loadDashboard() { + dashboard = await fetchJson("/api/dashboard"); + elements.title.textContent = dashboard.profile.title; + elements.profile.innerHTML = profileItem("Domain", dashboard.profile.domain) + profileItem("Words", dashboard.profile.wordCount) + profileItem("Keywords", dashboard.profile.keywords.slice(0, 5).join(", ")); + elements.highlighted.textContent = dashboard.citations.highlightedText; + elements.score.textContent = dashboard.review.score; + renderSummary("abstract"); + renderReview(); + renderCitations(dashboard.citations); +} + +function renderSummary(mode) { + const summary = dashboard.summaries[mode]; + elements.summary.textContent = summary.summary; + elements.findings.innerHTML = summary.keyFindings.map((item) => `
  • ${escapeHtml(item)}
    • `).join(""); + elements.nextSteps.innerHTML = summary.nextSteps.map((item) => `
  • ${escapeHtml(item)}
    • `).join(""); +} + +function renderReview() { + elements.template.textContent = dashboard.review.template; + elements.issues.innerHTML = dashboard.review.issues + .map( + (issue) => ` +
    +
    + ${issue.type} + ${issue.severity} +
    +

    ${escapeHtml(issue.message)}

    + ${escapeHtml(issue.evidence)} +
    + ` + ) + .join(""); +} + +function renderCitations(citationPayload) { + elements.citations.innerHTML = citationPayload.recommendations + .map( + (paper) => ` +
    +
    + ${escapeHtml(paper.title)} + ${paper.score.toFixed(2)} +
    +

    ${escapeHtml(paper.reason)}

    + ${escapeHtml(paper.formatted)} + +
    + ` + ) + .join(""); +} + +function profileItem(label, value) { + return `
    ${label}${escapeHtml(String(value))}
    `; +} + +async function fetchJson(path) { + const response = await fetch(path); + if (!response.ok) throw new Error(`Request failed: ${response.status}`); + return response.json(); +} + +function escapeHtml(value) { + return value.replace(/[&<>"']/g, (char) => ({ "&": "&", "<": "<", ">": ">", '"': """, "'": "'" })[char]); +} + +document.querySelectorAll("[data-mode]").forEach((button) => { + button.addEventListener("click", () => { + document.querySelectorAll("[data-mode]").forEach((item) => item.classList.toggle("active", item === button)); + renderSummary(button.dataset.mode); + }); +}); + +elements.style.addEventListener("change", async () => { + renderCitations(await fetchJson(`/api/citations?style=${encodeURIComponent(elements.style.value)}`)); +}); + +loadDashboard().catch((error) => { + document.body.innerHTML = `
    ${escapeHtml(error.stack || error.message)}
    `; +}); diff --git a/ai-assisted-research-tools/public/index.html b/ai-assisted-research-tools/public/index.html new file mode 100644 index 0000000..c168d16 --- /dev/null +++ b/ai-assisted-research-tools/public/index.html @@ -0,0 +1,87 @@ + + + + + + SCIBASE AI-Assisted Research Tools + + + +
    +
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    +

    SCIBASE.AI / issue #13

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    AI-Assisted Research Tools

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    + -- + review score +
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    AI Paper Summarizer

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    Domain-aware summaries

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    Key findings

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      Next steps

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        AI Peer Review Aid

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        Diagnostic manuscript report

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        AI Citation Tool

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        Recommendations and insert text

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        + + + diff --git a/ai-assisted-research-tools/public/styles.css b/ai-assisted-research-tools/public/styles.css new file mode 100644 index 0000000..0774f07 --- /dev/null +++ b/ai-assisted-research-tools/public/styles.css @@ -0,0 +1,288 @@ +:root { + color-scheme: light; + --ink: #18201c; + --muted: #637167; + --paper: #f7f4eb; + --panel: #ffffff; + --line: #d8ded3; + --green: #1d6d54; + --teal: #1d6376; + --amber: #b26a13; + --red: #b13434; +} + +* { + box-sizing: border-box; +} + +body { + margin: 0; + font-family: + Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; + background: var(--paper); + color: var(--ink); +} + +button, +select { + font: inherit; +} + +.shell { + min-height: 100vh; + padding: 28px; +} + +.topbar { + display: flex; + align-items: center; + justify-content: space-between; + gap: 24px; + max-width: 1320px; + margin: 0 auto 22px; +} + +h1, +h2, +p { + margin: 0; +} + +h1 { + font-size: clamp(32px, 5vw, 64px); + line-height: 0.95; + letter-spacing: 0; +} + +h2 { + font-size: 19px; + line-height: 1.2; +} + +.eyebrow, +.label { + color: var(--muted); + font-size: 12px; + font-weight: 800; + letter-spacing: 0.08em; + text-transform: uppercase; +} + +.score { + display: grid; + place-items: center; + width: 118px; + height: 92px; + border: 1px solid var(--line); + background: var(--panel); +} + +.score span { + color: var(--green); + font-size: 38px; + font-weight: 900; +} + +.score small { + color: var(--muted); + font-weight: 700; +} + +.workspace { + display: grid; + grid-template-columns: 0.85fr 1.15fr; + gap: 16px; + max-width: 1320px; + margin: 0 auto; +} + +.panel { + border: 1px solid var(--line); + background: var(--panel); + padding: 22px; +} + +.manuscript { + grid-row: span 2; +} + +.section-heading { + display: flex; + align-items: flex-start; + justify-content: space-between; + gap: 16px; + margin-bottom: 18px; +} + +.profile-grid { + display: grid; + gap: 10px; + margin: 22px 0; +} + +.profile-grid div, +.highlight { + border-top: 1px solid var(--line); + padding-top: 12px; +} + +.profile-grid span { + display: block; + color: var(--muted); + font-size: 12px; + font-weight: 800; + text-transform: uppercase; +} + +.profile-grid strong, +.highlight p:last-child { + display: block; + margin-top: 5px; + line-height: 1.45; +} + +.segmented { + display: flex; + border: 1px solid var(--line); +} + +.segmented button, +.citation button { + border: 0; + background: transparent; + color: var(--muted); + cursor: pointer; + font-weight: 800; + padding: 9px 12px; +} + +.segmented button.active { + background: var(--ink); + color: white; +} + +.summary-text { + color: #25302a; + font-size: 18px; + line-height: 1.55; +} + +.columns { + display: grid; + grid-template-columns: 1fr 1fr; + gap: 18px; + margin-top: 22px; +} + +ul { + margin: 8px 0 0; + padding-left: 18px; +} + +li { + margin-bottom: 8px; + line-height: 1.35; +} + +.tag, +select { + border: 1px solid var(--line); + background: #f8faf6; + color: var(--green); + font-weight: 800; + padding: 8px 10px; +} + +.issue-list, +.citation-list { + display: grid; + gap: 10px; +} + +.issue, +.citation { + border: 1px solid var(--line); + padding: 14px; +} + +.issue.high { + border-left: 5px solid var(--red); +} + +.issue.medium { + border-left: 5px solid var(--amber); +} + +.issue.low { + border-left: 5px solid var(--teal); +} + +.issue div, +.citation div { + display: flex; + justify-content: space-between; + gap: 12px; + margin-bottom: 7px; +} + +.issue span, +.issue strong, +.citation span { + color: var(--muted); + font-size: 12px; + font-weight: 900; + text-transform: uppercase; +} + +.issue p, +.citation p { + line-height: 1.4; +} + +.issue small, +code { + display: block; + margin-top: 8px; + color: var(--muted); + line-height: 1.4; +} + +code { + white-space: normal; +} + +.citation button { + margin-top: 10px; + border: 1px solid var(--line); + color: var(--green); +} + +@media (max-width: 860px) { + .shell { + padding: 16px; + } + + .topbar, + .section-heading, + .workspace, + .columns { + grid-template-columns: 1fr; + flex-direction: column; + } + + .topbar { + align-items: stretch; + } + + .score { + width: 100%; + } + + .segmented { + width: 100%; + } + + .segmented button { + flex: 1; + } +} diff --git a/ai-assisted-research-tools/src/data/open-corpus.js b/ai-assisted-research-tools/src/data/open-corpus.js new file mode 100644 index 0000000..8cb8ec2 --- /dev/null +++ b/ai-assisted-research-tools/src/data/open-corpus.js @@ -0,0 +1,127 @@ +export const corpus = [ + { + id: "pubmed-organoid-dose-response", + title: "Dose response profiling in patient-derived tumor organoids", + authors: ["M. Alvarez", "N. Chen", "R. Singh"], + year: 2024, + venue: "Nature Cancer Methods", + doi: "10.1038/ncm.2024.118", + domains: ["oncology", "organoids", "dose response", "biomarkers"], + abstract: + "Patient-derived tumor organoids preserve clinically meaningful treatment response signals when dose response curves are paired with genomic covariates and negative controls.", + citedBy: 148 + }, + { + id: "arxiv-reproducible-ml-biology", + title: "Reproducible machine learning workflows for biological discovery", + authors: ["E. Navarro", "P. Gupta"], + year: 2023, + venue: "arXiv", + doi: "10.48550/arXiv.2307.10444", + domains: ["machine learning", "reproducibility", "biology", "pipelines"], + abstract: + "Reproducibility improves when biological machine learning manuscripts publish pinned environments, deterministic splits, evaluation scripts, and raw data provenance.", + citedBy: 92 + }, + { + id: "pubmed-statistical-reporting", + title: "Common statistical reporting errors in preclinical manuscripts", + authors: ["L. Hart", "S. Okafor", "Y. Ito"], + year: 2022, + venue: "Journal of Clinical Research Integrity", + doi: "10.1016/j.jcri.2022.04.013", + domains: ["statistics", "peer review", "p values", "confidence intervals"], + abstract: + "Frequent reporting defects include isolated p-values without effect sizes, missing confidence intervals, unclear multiple testing correction, and underpowered subgroup claims.", + citedBy: 211 + }, + { + id: "semantic-open-citation-review", + title: "Context aware citation recommendation for scientific writing", + authors: ["A. Mercer", "T. Bello"], + year: 2025, + venue: "Semantic Scholar Open Research", + doi: "10.5555/ssor.2025.019", + domains: ["citations", "retrieval", "scientific writing", "recommendation"], + abstract: + "Citation recommenders perform best when retrieval combines local manuscript context, domain keywords, citation graph proximity, and recency-aware reranking.", + citedBy: 37 + }, + { + id: "bioethics-data-availability", + title: "Ethics and data availability statements in biomedical publication", + authors: ["J. Wallace", "I. Rahman", "K. Li"], + year: 2021, + venue: "PLOS Biology Policy", + doi: "10.1371/pbio.2021.771", + domains: ["ethics", "data availability", "biomedical", "compliance"], + abstract: + "Biomedical reviewers should verify ethics approval, consent language, repository accessions, and data availability statements before manuscript submission.", + citedBy: 309 + }, + { + id: "nature-lay-summary", + title: "Readable lay summaries increase public reuse of research outputs", + authors: ["D. Morgan", "C. Evans"], + year: 2020, + venue: "Nature Human Behaviour", + doi: "10.1038/nhb.2020.44", + domains: ["lay summaries", "science communication", "public engagement"], + abstract: + "Research summaries written with concrete language and explicit practical implications improve comprehension among non-specialist audiences without reducing scientific accuracy.", + citedBy: 186 + } +]; + +export const reviewTemplates = { + biology: { + requiredStatements: ["ethics", "data availability", "consent"], + statisticalFocus: ["sample size", "confidence interval", "multiple testing"], + tone: "evidence-calibrated and reproducibility-focused" + }, + physics: { + requiredStatements: ["uncertainty", "calibration", "data availability"], + statisticalFocus: ["error bars", "baseline", "replication"], + tone: "methodological and assumption-explicit" + }, + "social-science": { + requiredStatements: ["ethics", "consent", "limitations"], + statisticalFocus: ["effect size", "confidence interval", "power"], + tone: "bias-aware and methods-forward" + } +}; + +export const manuscript = { + id: "project-organoid-response", + title: "Predicting chemotherapy response from patient-derived organoid growth curves", + domain: "biology", + highlightedText: + "Dose response profiling in organoids can predict tumor sensitivity when paired with genomic biomarkers and reproducible analysis scripts.", + sections: [ + { + heading: "Abstract", + text: + "Patient-derived tumor organoids are a promising model for evaluating therapy sensitivity. We trained a machine learning model on growth-curve features and genomic biomarkers to predict chemotherapy response. The study reports p = 0.04 for the main endpoint and a validation accuracy of 0.82 across two hospital cohorts." + }, + { + heading: "Methods", + text: + "Organoids were cultured from 86 consented patients. Growth curves were normalized against vehicle controls, then evaluated with a random forest classifier. Code and de-identified features are available in a public repository. The analysis used a fixed random seed and a held-out validation split." + }, + { + heading: "Results", + text: + "The model improved response prediction compared with baseline clinical staging. Resistant tumors showed flatter dose response curves and distinct pathway activity. Confidence intervals were not reported for subgroup comparisons, and multiple testing correction was not described." + }, + { + heading: "Discussion", + text: + "These findings suggest organoid assays may guide treatment selection. Future studies should include prospective replication, larger sample sizes, and stronger reporting of uncertainty." + } + ], + existingReferences: ["pubmed-statistical-reporting"], + uploadedCorpusSnippets: [ + "Organoid dose response curves preserve clinically meaningful treatment response signals when paired with genomic covariates.", + "Biomedical reviewers should verify ethics approval, consent language, repository accessions, and data availability statements before submission." + ] +}; diff --git a/ai-assisted-research-tools/src/research-ai.js b/ai-assisted-research-tools/src/research-ai.js new file mode 100644 index 0000000..1062070 --- /dev/null +++ b/ai-assisted-research-tools/src/research-ai.js @@ -0,0 +1,288 @@ +import { corpus, manuscript, reviewTemplates } from "./data/open-corpus.js"; + +const stopWords = new Set([ + "the", + "and", + "for", + "with", + "from", + "that", + "this", + "were", + "was", + "are", + "can", + "into", + "when", + "then", + "than", + "they", + "their", + "study", + "research", + "paper", + "model", + "data" +]); + +export function analyzeManuscript(input = manuscript) { + const text = flattenSections(input); + const keywords = extractKeywords(text, 14); + const domain = input.domain || inferDomain(keywords); + return { + manuscriptId: input.id, + title: input.title, + domain, + wordCount: tokenize(text).length, + keywords, + sectionCount: input.sections.length + }; +} + +export function summarizePaper(input = manuscript, mode = "executive") { + const profile = analyzeManuscript(input); + const sentences = splitSentences(flattenSections(input)); + const scored = sentences + .map((sentence) => ({ + sentence, + score: scoreSentence(sentence, profile.keywords) + sectionWeight(input, sentence) + })) + .sort((a, b) => b.score - a.score); + const summarySentences = scored.slice(0, mode === "abstract" ? 3 : 4).map((item) => item.sentence); + const keyFindings = findSentences(sentences, ["improved", "predict", "resistant", "accuracy"]).slice(0, 3); + const implications = [ + `The work is most relevant to ${profile.domain} teams evaluating ${profile.keywords.slice(0, 3).join(", ")}.`, + "The result is promising but should be interpreted with uncertainty until prospective replication and fuller statistical reporting are available." + ]; + const nextSteps = [ + "Add confidence intervals and multiple-testing details for subgroup claims.", + "Link the public code, data dictionary, and validation split directly from the manuscript.", + "Run a prospective replication cohort before clinical deployment." + ]; + + return { + mode, + title: input.title, + domain: profile.domain, + summary: + mode === "layperson" + ? toLaypersonSummary(summarySentences) + : mode === "abstract" + ? summarySentences.join(" ") + : `${summarySentences.join(" ")} Recommended editorial focus: clarify uncertainty, reproducibility, and clinical boundaries.`, + keyFindings, + implications, + nextSteps + }; +} + +export function peerReviewAid(input = manuscript, domain = input.domain || "biology") { + const text = flattenSections(input); + const template = reviewTemplates[domain] || reviewTemplates.biology; + const sentences = splitSentences(text); + const issues = [ + ...detectSimilarity(input.uploadedCorpusSnippets || [], text), + ...detectStatisticsIssues(text), + ...detectComplianceIssues(text, template), + ...detectClarityIssues(sentences) + ]; + const severityOrder = { high: 0, medium: 1, low: 2 }; + issues.sort((a, b) => severityOrder[a.severity] - severityOrder[b.severity]); + + return { + template: domain, + tone: template.tone, + score: Math.max(0, 100 - issues.reduce((total, issue) => total + issue.penalty, 0)), + issues, + checklist: template.requiredStatements.map((statement) => ({ + statement, + present: text.toLowerCase().includes(statement) + })) + }; +} + +export function recommendCitations(input = manuscript, highlightedText = input.highlightedText, style = "APA") { + const context = `${input.title} ${highlightedText} ${flattenSections(input)}`; + const keywords = extractKeywords(context, 18); + const recommendations = corpus + .filter((paper) => !input.existingReferences?.includes(paper.id)) + .map((paper) => { + const keywordOverlap = paper.domains.filter((domain) => keywords.includes(domain) || context.toLowerCase().includes(domain)).length; + const abstractOverlap = extractKeywords(paper.abstract, 10).filter((keyword) => keywords.includes(keyword)).length; + const recency = Math.max(0, paper.year - 2020) / 10; + const authority = Math.min(1, paper.citedBy / 250); + const score = keywordOverlap * 3 + abstractOverlap * 2 + recency + authority; + return { + id: paper.id, + title: paper.title, + reason: citationReason(paper, keywords, highlightedText), + score: Number(score.toFixed(2)), + formatted: formatCitation(paper, style), + insertText: `(${paper.authors[0].split(" ").at(-1)} et al., ${paper.year})` + }; + }) + .filter((paper) => paper.score > 1) + .sort((a, b) => b.score - a.score); + + return { + style, + highlightedText, + recommendations: recommendations.slice(0, 4), + similarPapers: recommendations.slice(0, 3).map(({ id, title, score }) => ({ id, title, score })) + }; +} + +export function buildDashboard(input = manuscript) { + return { + profile: analyzeManuscript(input), + summaries: { + abstract: summarizePaper(input, "abstract"), + executive: summarizePaper(input, "executive"), + layperson: summarizePaper(input, "layperson") + }, + review: peerReviewAid(input), + citations: recommendCitations(input, input.highlightedText, "Nature") + }; +} + +function flattenSections(input) { + return input.sections.map((section) => `${section.heading}. ${section.text}`).join(" "); +} + +function tokenize(text) { + return text + .toLowerCase() + .replace(/[^a-z0-9.\s-]/g, " ") + .split(/\s+/) + .filter(Boolean); +} + +function extractKeywords(text, limit = 10) { + const counts = new Map(); + for (const token of tokenize(text)) { + if (token.length < 4 || stopWords.has(token)) continue; + counts.set(token, (counts.get(token) || 0) + 1); + } + return [...counts.entries()] + .sort((a, b) => b[1] - a[1] || a[0].localeCompare(b[0])) + .slice(0, limit) + .map(([token]) => token); +} + +function inferDomain(keywords) { + if (keywords.some((word) => ["patient", "biology", "organoid", "tumor"].includes(word))) return "biology"; + if (keywords.some((word) => ["uncertainty", "calibration", "physics"].includes(word))) return "physics"; + return "social-science"; +} + +function splitSentences(text) { + return text + .replace(/\s+/g, " ") + .split(/(?<=[.!?])\s+/) + .map((sentence) => sentence.trim()) + .filter((sentence) => sentence.length > 20); +} + +function scoreSentence(sentence, keywords) { + const lower = sentence.toLowerCase(); + return keywords.reduce((score, keyword) => score + (lower.includes(keyword) ? 1 : 0), 0); +} + +function sectionWeight(input, sentence) { + const section = input.sections.find((item) => item.text.includes(sentence) || `${item.heading}. ${item.text}`.includes(sentence)); + if (!section) return 0; + return { Abstract: 3, Results: 2, Discussion: 1.5, Methods: 1 }[section.heading] || 0; +} + +function findSentences(sentences, needles) { + return sentences.filter((sentence) => needles.some((needle) => sentence.toLowerCase().includes(needle))); +} + +function toLaypersonSummary(sentences) { + return sentences + .join(" ") + .replaceAll("Patient-derived tumor organoids", "small lab-grown versions of a patient's tumor") + .replaceAll("chemotherapy response", "whether a cancer treatment is likely to work") + .replaceAll("genomic biomarkers", "genetic clues") + .replaceAll("prospective replication", "a future study that checks the result again"); +} + +function detectSimilarity(snippets, manuscriptText) { + const lowered = manuscriptText.toLowerCase(); + return snippets + .map((snippet) => { + const terms = extractKeywords(snippet, 12); + const overlap = terms.filter((term) => lowered.includes(term)).length / Math.max(terms.length, 1); + return { snippet, overlap }; + }) + .filter(({ overlap }) => overlap >= 0.5) + .map(({ snippet, overlap }) => ({ + type: "similarity", + severity: overlap > 0.8 ? "high" : "medium", + penalty: overlap > 0.8 ? 18 : 10, + message: `Potential overlap with uploaded/open-corpus text (${Math.round(overlap * 100)}% keyword overlap).`, + evidence: snippet + })); +} + +function detectStatisticsIssues(text) { + const lowered = text.toLowerCase(); + const issues = []; + if (/p\s*[=<]\s*0\.\d+/.test(lowered) && (!lowered.includes("confidence interval") || lowered.includes("confidence intervals were not reported"))) { + issues.push({ + type: "statistics", + severity: "medium", + penalty: 12, + message: "P-values appear without confidence intervals for the main effect.", + evidence: "Report uncertainty alongside significance tests." + }); + } + if (lowered.includes("subgroup") && (!lowered.includes("multiple testing") || lowered.includes("multiple testing correction was not described"))) { + issues.push({ + type: "statistics", + severity: "medium", + penalty: 12, + message: "Subgroup claims are present without a multiple-testing correction.", + evidence: "Add correction method or mark subgroup results exploratory." + }); + } + return issues; +} + +function detectComplianceIssues(text, template) { + const lowered = text.toLowerCase(); + return template.requiredStatements + .filter((statement) => !lowered.includes(statement)) + .map((statement) => ({ + type: "compliance", + severity: statement === "ethics" ? "high" : "medium", + penalty: statement === "ethics" ? 20 : 10, + message: `Missing ${statement} statement.`, + evidence: `Required for ${template.tone} review template.` + })); +} + +function detectClarityIssues(sentences) { + return sentences + .filter((sentence) => sentence.split(/\s+/).length > 34) + .map((sentence) => ({ + type: "clarity", + severity: "low", + penalty: 4, + message: "Long sentence may be difficult for reviewers to parse.", + evidence: sentence + })); +} + +function citationReason(paper, keywords, highlightedText) { + const matches = paper.domains.filter((domain) => keywords.includes(domain) || highlightedText.toLowerCase().includes(domain)); + if (matches.length) return `Matches manuscript context for ${matches.slice(0, 3).join(", ")}.`; + return `Supports adjacent methods and reporting context with ${paper.citedBy} citations.`; +} + +function formatCitation(paper, style) { + const authorList = paper.authors.join(", "); + if (style === "MLA") return `${authorList}. "${paper.title}." ${paper.venue}, ${paper.year}. doi:${paper.doi}.`; + if (style === "Nature") return `${authorList}. ${paper.title}. ${paper.venue} (${paper.year}). https://doi.org/${paper.doi}`; + return `${authorList} (${paper.year}). ${paper.title}. ${paper.venue}. https://doi.org/${paper.doi}`; +} diff --git a/ai-assisted-research-tools/src/server.js b/ai-assisted-research-tools/src/server.js new file mode 100644 index 0000000..f763d1a --- /dev/null +++ b/ai-assisted-research-tools/src/server.js @@ -0,0 +1,69 @@ +import http from "node:http"; +import { readFile } from "node:fs/promises"; +import { extname, join, resolve, sep } from "node:path"; +import { fileURLToPath } from "node:url"; +import { buildDashboard, peerReviewAid, recommendCitations, summarizePaper } from "./research-ai.js"; +import { manuscript } from "./data/open-corpus.js"; + +const root = join(fileURLToPath(new URL("..", import.meta.url)), "public"); +const port = Number(process.env.PORT || 4128); + +const contentTypes = { + ".html": "text/html; charset=utf-8", + ".css": "text/css; charset=utf-8", + ".js": "text/javascript; charset=utf-8", + ".json": "application/json; charset=utf-8", + ".svg": "image/svg+xml" +}; + +const server = http.createServer(async (request, response) => { + try { + const url = new URL(request.url, `http://${request.headers.host}`); + if (url.pathname === "/api/dashboard") return json(response, buildDashboard(manuscript)); + if (url.pathname === "/api/summarize") { + return json(response, summarizePaper(manuscript, url.searchParams.get("mode") || "executive")); + } + if (url.pathname === "/api/review") return json(response, peerReviewAid(manuscript)); + if (url.pathname === "/api/citations") { + return json( + response, + recommendCitations(manuscript, url.searchParams.get("highlight") || manuscript.highlightedText, url.searchParams.get("style") || "APA") + ); + } + return await serveStatic(url.pathname === "/" ? "/index.html" : url.pathname, response); + } catch (error) { + response.writeHead(500, { "content-type": "application/json; charset=utf-8" }); + response.end(JSON.stringify({ error: error.message })); + } +}); + +server.listen(port, () => { + console.log(`AI-assisted research tools running at http://localhost:${port}`); +}); + +function json(response, body) { + response.writeHead(200, { "content-type": "application/json; charset=utf-8" }); + response.end(JSON.stringify(body, null, 2)); +} + +async function serveStatic(pathname, response) { + const filePath = resolve(root, pathname.replace(/^\/+/, "")); + if (!filePath.startsWith(`${root}${sep}`)) { + response.writeHead(403, { "content-type": "text/plain; charset=utf-8" }); + response.end("Forbidden"); + return; + } + let body; + try { + body = await readFile(filePath); + } catch (error) { + if (error.code === "ENOENT") { + response.writeHead(404, { "content-type": "text/plain; charset=utf-8" }); + response.end("Not found"); + return; + } + throw error; + } + response.writeHead(200, { "content-type": contentTypes[extname(filePath)] || "application/octet-stream" }); + response.end(body); +} diff --git a/ai-assisted-research-tools/test/research-ai.test.js b/ai-assisted-research-tools/test/research-ai.test.js new file mode 100644 index 0000000..df4ceca --- /dev/null +++ b/ai-assisted-research-tools/test/research-ai.test.js @@ -0,0 +1,45 @@ +import test from "node:test"; +import assert from "node:assert/strict"; +import { buildDashboard, peerReviewAid, recommendCitations, summarizePaper } from "../src/research-ai.js"; +import { manuscript } from "../src/data/open-corpus.js"; + +test("generates abstract, executive, and layperson summaries", () => { + const abstract = summarizePaper(manuscript, "abstract"); + const executive = summarizePaper(manuscript, "executive"); + const layperson = summarizePaper(manuscript, "layperson"); + + assert.equal(abstract.mode, "abstract"); + assert.match(executive.summary, /Recommended editorial focus/); + assert.match(layperson.summary, /lab-grown/); + assert.ok(executive.keyFindings.length >= 2); + assert.ok(executive.nextSteps.some((step) => step.includes("confidence intervals"))); +}); + +test("builds a peer review report with similarity, statistics, and compliance findings", () => { + const report = peerReviewAid(manuscript, "biology"); + + assert.equal(report.template, "biology"); + assert.ok(report.score < 100); + assert.ok(report.issues.some((issue) => issue.type === "similarity")); + assert.ok(report.issues.some((issue) => issue.type === "statistics")); + assert.ok(report.checklist.some((item) => item.statement === "ethics" && item.present === false)); +}); + +test("recommends and formats citations from the local open corpus", () => { + const result = recommendCitations(manuscript, manuscript.highlightedText, "Nature"); + + assert.equal(result.style, "Nature"); + assert.ok(result.recommendations.length >= 3); + assert.ok(result.recommendations[0].score >= result.recommendations.at(-1).score); + assert.ok(result.recommendations.every((paper) => paper.formatted.includes("https://doi.org/"))); + assert.ok(result.similarPapers.length > 0); +}); + +test("composes a dashboard payload for the demo UI", () => { + const dashboard = buildDashboard(manuscript); + + assert.equal(dashboard.profile.manuscriptId, manuscript.id); + assert.ok(dashboard.summaries.abstract.summary.length > 80); + assert.ok(dashboard.review.issues.length >= 3); + assert.ok(dashboard.citations.recommendations.length >= 3); +}); From c92dfcab4472e5470d793adace2769eaa60ce6ee Mon Sep 17 00:00:00 2001 From: Grant Fletcher Date: Sat, 9 May 2026 05:35:03 -0400 Subject: [PATCH 2/2] docs: add ai tools demo video --- ai-assisted-research-tools/README.md | 2 +- .../demo/ai-assisted-research-tools-demo.mp4 | Bin 0 -> 24570 bytes .../docs/demo/dashboard.png | Bin 0 -> 27069 bytes 3 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 ai-assisted-research-tools/docs/demo/ai-assisted-research-tools-demo.mp4 create mode 100644 ai-assisted-research-tools/docs/demo/dashboard.png diff --git a/ai-assisted-research-tools/README.md b/ai-assisted-research-tools/README.md index 599f0b7..d738c09 100644 --- a/ai-assisted-research-tools/README.md +++ b/ai-assisted-research-tools/README.md @@ -65,4 +65,4 @@ curl -s "http://localhost:4128/api/summarize?mode=layperson" curl -s "http://localhost:4128/api/citations?style=Nature" ``` -Demo artifacts are committed under `docs/demo/`. +Demo artifacts are committed under `docs/demo/`, including `dashboard.png`, `ai-assisted-research-tools.svg`, and `ai-assisted-research-tools-demo.mp4`. diff --git a/ai-assisted-research-tools/docs/demo/ai-assisted-research-tools-demo.mp4 b/ai-assisted-research-tools/docs/demo/ai-assisted-research-tools-demo.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..4efd7fc518375a7d1a8b2332d004f91cf92e7265 GIT binary patch literal 24570 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