Biology literature-review notebook: AI query, extraction and synthesis
A public biology mini-project documents question-to-PubMed retrieval, model-assisted evidence extraction and synthesis, plus exploratory analysis code.
L2Research workflow (workflow level, not a quality rating) Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
Concrete documented AI-assisted scholarly retrieval/extraction/synthesis method in a biology teaching project, independent of whether its medical results are sound.
Getting started
Untested editorial guidance: read original source documentation and limitations, choose a suitable public/synthetic example, and plan independent source/output checks before any separately authorised trial. No trial performed.
Maintenance
Primary repository documents observed2026-10-19; future maintenance, current provider terms and live compatibility not verified.
License
Licence and data/provider rights not audited; no open-licence/release/independent-experiment eligibility requirement.
Workflow & human oversight
Intended L2 for question/date-scoped query generation, PubMed retrieval, structured extraction, CSV/Markdown synthesis and separately scripted analysis. User-defined scope is documented; expert extraction/citation and statistical validation are not. No validated clinical meta-analysis or autonomous experiment loop is claimed.
Workflow level is not an evidence score; higher is not better evidence.
Approach
Selected notebook method-source lines identify query generation, PubMed/Entrez retrieval, structured evidence extraction and CSV/Markdown synthesis. README and notebook contain medical/quantitative narratives that were not validated; adoption scope is an untested educational workflow/template.
Limitations
Full README plus selected notebook markdown/method-identifying code-source lines read; not full implementation or notebook outputs. The raw notebook is preserved but not executed. Clinical values/correlations/PMID narratives were not checked and are omitted from recommendations; different narrative sections give inconsistent correlation/aggregate interpretations. Do not treat abstract extraction and heterogeneous cohort summaries as validated pooled meta-analysis, causal trend or clinical advice. No patient data, literature database query, model endpoint or medical inference run. Moving default-branch sources are timestamped, not commit-pinned or atomically versioned. AI editorial review only; no source code, models or installation executed, no production/status/publication changes.
Reproducibility
Timestamped public moving-default-branch documents preserved; no commit pin/atomic version guarantee. No source code/model/experiment executed or results reproduced.
Adoption requirements
Read the public notebook/template as untested educational documentation; any later clinical research use needs independent study/source/metric/extraction and methods review. No dependencies, corpus, credentials or notebooks run.
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