{"version":"https://jsonfeed.org/version/1","title":"Rev Bioscience","home_page_url":"https://revbioscience.com","description":"Rev Bioscience","author":{"name":"Rev Bioscience"},"items":[{"id":"https://revbioscience.com/insights/f/why-ai-reads-a-systematic-review-differently-than-you-do","html_content":"<p>Systematic reviews are the highest form of evidence in evidence-based science. They are also among the most hazardous documents to hand to a general-purpose LLM.</p>","url":"https://revbioscience.com/insights/f/why-ai-reads-a-systematic-review-differently-than-you-do","title":"Why AI Reads a Systematic Review Differently Than You Do","summary":"Systematic reviews are the highest form of evidence in evidence-based science. They are also among the most hazardous documents to hand to a general-purpose LLM.","date_modified":"2026-04-28T18:00:00Z"},{"id":"https://revbioscience.com/insights/f/the-prompt-is-the-protocol","html_content":"<img src=\"https://img1.wsimg.com/isteam/ip/eb3ad520-3660-4d94-aa25-c1d1dfad37c4/prompt_protocol_editorial_option_2_simplified.png\"/><p>Why scientists should treat AI instructions with the same rigor as a methods section — and what happens when they don't.</p>","url":"https://revbioscience.com/insights/f/the-prompt-is-the-protocol","title":"The Prompt Is the Protocol","summary":"Why scientists should treat AI instructions with the same rigor as a methods section — and what happens when they don't.","date_modified":"2026-04-17T16:56:47Z"},{"id":"https://revbioscience.com/insights/f/three-questions-every-ai-assisted-evidence-output-must-answer","html_content":"<img src=\"https://img1.wsimg.com/isteam/stock/YkY0D6Q\"/><p>Fidelity, traceability, and defensibility. If your AI workflow can't satisfy all three, the output isn't ready for scientific, regulatory, or commercial use.</p>","url":"https://revbioscience.com/insights/f/three-questions-every-ai-assisted-evidence-output-must-answer","title":"Three Questions Every AI-Assisted Evidence Output Must Answer","summary":"Fidelity, traceability, and defensibility. If your AI workflow can't satisfy all three, the output isn't ready for scientific, regulatory, or commercial use.","date_modified":"2026-04-14T20:03:08Z"},{"id":"https://revbioscience.com/insights/f/your-statistical-test-doesnt-hallucinate-your-ai-does","html_content":"<img src=\"https://img1.wsimg.com/isteam/stock/12827\"/><p>The distinction between deterministic and probabilistic systems is the conceptual key every scientist needs before using AI in evidence work.</p>","url":"https://revbioscience.com/insights/f/your-statistical-test-doesnt-hallucinate-your-ai-does","title":"Your Statistical Test Doesn't Hallucinate. Your AI Does. Why?","summary":"The distinction between deterministic and probabilistic systems is the conceptual key every scientist needs before using AI in evidence work.","date_modified":"2026-04-14T20:01:05Z"},{"id":"https://revbioscience.com/insights/f/you-asked-for-a-table-of-10-papers-your-ai-made-half-of-it-up","html_content":"<img src=\"https://img1.wsimg.com/isteam/stock/ka4B2x9\"/><p>Why uploading 10 papers and asking for a table produces hallucinations, fabricated citations, and blended findings — and what to do instead.</p>","url":"https://revbioscience.com/insights/f/you-asked-for-a-table-of-10-papers-your-ai-made-half-of-it-up","title":"You Asked for a Table of 10 Papers. Your AI Made Up Half of It.","summary":"Why uploading 10 papers and asking for a table produces hallucinations, fabricated citations, and blended findings — and what to do instead.","date_modified":"2026-04-14T19:28:58Z"},{"id":"https://revbioscience.com/insights/f/your-ai-didnt-read-the-paper-it-pattern-matched-it","html_content":"<img src=\"https://img1.wsimg.com/isteam/stock/lVNa0wm\"/><p>What really happens when you upload a PDF to an LLM for evidence extraction — and why the output feels authoritative even when it isn't.</p>","url":"https://revbioscience.com/insights/f/your-ai-didnt-read-the-paper-it-pattern-matched-it","title":"Your AI Didn't Read the Paper. It Pattern-Matched It.","summary":"What really happens when you upload a PDF to an LLM for evidence extraction — and why the output feels authoritative even when it isn't.","date_modified":"2026-04-14T18:37:20Z"}]}