Draft a [SECTION TYPE] for [AUDIENCE OR VENUE] about [RESEARCH QUESTION OR TOPIC]. Use only the evidence in [SOURCE MATERIAL AND CITATIONS]. The study or analysis context is [METHODS AND RESULTS], and the required style or word limit is [STYLE AND LENGTH]. Before drafting, make a claim-evidence map: list each proposed substantive claim, the exact supporting result or source I supplied, and its appropriate strength of wording. If evidence is absent, mark the claim unsupported rather than filling the gap.
Write the section in a publication-ready scientific style. Use a logical sequence appropriate to the section type: background should move from established knowledge to the unresolved gap; methods should be reproducible enough to assess design and analysis; results should report findings without interpretation; discussion should distinguish findings, interpretation, limitations, and implications. Define abbreviations on first use. Preserve numerical values, units, uncertainty measures, sample sizes, and statistical notation exactly as supplied. Use cautious language for observational, exploratory, or underpowered findings. Return: 1) the draft; 2) a short “evidence and limits” note listing unsupported claims, missing methodological details, and overstatements to avoid; and 3) suggested locations for citations using only the citations I supplied. Do not create sources, data, participant details, methods, p-values, or causal conclusions. Self-check that every factual claim is traceable to my material and that the conclusion does not exceed the design. Ask up to 3 clarifying questions only if a required input is missing.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [SECTION TYPE] | Name the section, such as abstract, introduction, methods, results, discussion, or literature review. | Discussion section |
| [AUDIENCE OR VENUE] | State the journal, class, funder, or reader and discipline. | A public-health journal read by epidemiologists |
| [RESEARCH QUESTION OR TOPIC] | Give the question, hypothesis, or narrow topic the section must address. | Whether text-message reminders improve influenza vaccination among adults aged 65 and older |
| [SOURCE MATERIAL AND CITATIONS] | Paste your notes, source excerpts, references, tables, and approved citation details. | Trial results table; three cited studies: Patel 2022, Wong 2023, Ellis 2024; notes on implementation |
| [METHODS AND RESULTS] | Describe the design, sample, analysis, and findings relevant to this section. | Pragmatic cluster trial, 18 clinics, 4,212 patients; adjusted vaccination difference 3.1 percentage points, 95% CI 0.4 to 5.8 |
| [STYLE AND LENGTH] | State the required style guide, tense, citation format, and target word count. | Vancouver citations, formal US English, 700 words |
How to use
- Paste the source notes, results table, and approved references rather than asking the model to search from memory.
- Check the claim-evidence map against the original sources before using the draft.
- Read every statement of causality, generalizability, and statistical significance against the study design.
- Follow up with: "Mark every sentence in the draft as result, interpretation, limitation, or implication."
Variations
Methods section
Use this to convert a protocol and analysis notes into a reproducible methods draft.
Write a [WORD COUNT]-word Methods section from [STUDY PROTOCOL], [ANALYSIS PLAN], and [ETHICS DETAILS] for [VENUE]. Organize it as design and setting, participants, variables or intervention, data collection, outcomes, statistical analysis, and ethics where applicable. Preserve all numbers, dates, instruments, software, thresholds, and missing-data rules exactly as provided. Identify any information needed for reproducibility but absent from my material. Do not invent approvals, recruitment procedures, sample-size calculations, or analytic choices. End with a checklist of missing details; ask up to 3 questions only if required inputs are missing.
Results narrative
Use this when tables are complete but the prose results section is not.
Turn [TABLES AND FIGURES] and [ANALYSIS NOTES] into a [WORD COUNT]-word Results section for [AUDIENCE]. Report participant flow, baseline characteristics, prespecified primary outcomes, then secondary and sensitivity analyses in that order when supplied. State effect estimates with units, confidence intervals, and p-values exactly as given; do not interpret clinical importance or explain causes. Reference each table or figure once at the relevant point. Flag discrepancies between totals and subgroup counts. Do not calculate or infer unreported statistics. Ask up to 3 questions only if a required table label or outcome definition is missing.
Plain-language summary
Use this for a participant, public, or funder-facing explanation of completed research.
Write a plain-language research summary for [PUBLIC AUDIENCE] using [STUDY DETAILS] and [RESULTS]. Explain the question, who took part, what was done, main findings, uncertainty, limitations, and what the results do and do not mean. Use short sentences and define necessary technical terms in context. Produce a title, a 250-word summary, and five factual takeaways. Do not promise a health outcome, imply individual medical advice, or add facts beyond the supplied material. Flag claims that need researcher review. Ask up to 3 questions only if a required input is missing.
Tips
- Keep a source-to-claim ledger while drafting; a citation near a sentence is not evidence if the cited study does not support that exact statement.
- Results and discussion have different jobs: report estimates in results, then interpret their meaning and limits in discussion.
- For observational studies, avoid causal verbs unless the design and analysis genuinely support causal inference.
- Ask the model to flag missing information rather than asking it to make a section feel complete; plausible filler is especially dangerous in methods and citations.
FAQ
Can I use AI to write a scientific paper?
It can help organize and express work you can substantiate. Authors remain responsible for accuracy, disclosure rules, authorship, and compliance with their institution or journal.
Can it generate references?
Do not rely on generated references. Supply verified citation details and check every citation against the original source.
Should I paste unpublished data?
Follow your institution's data, privacy, and sponsor policies first. Remove identifiers and use an approved tool if the material is sensitive.