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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Ethics in Clinical Research
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,822 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,822 works in the cohort · of 4,299,418page 6 of 57

Labels cover 145 of 2,822 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,822 of 2,822 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Proposing modesty for informed consent
Michael Burgess
2007· article· en· Social Science & Medicine· Medicine
machine prediction:candidate · noneconsensus · none
56
citations
affunlabeled
Underreporting of Symptomatic Adverse Events in Phase I Clinical Trials
Zachary Veitch, Daniel Shepshelovich, Christina Gallagher, Lisa Wang, Albiruni R. Abdul Razak, Anna Spreafico +4 more
2021· article· en· JNCI Journal of the National Cancer Institute· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
55
citations
affunlabeled
Evolving values in ethics and global health research
Carel IJsselmuiden, Nancy Kass, Nelson K. Sewankambo, James V. Lavery
2010· article· en· Global Public Health· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
51
citations
afffundunlabeled
Biobank governance: a lesson in trust
Alice K. Hawkins, Kieran C. O’Doherty
2010· article· en· New Genetics and Society· Medicine
machine prediction:candidate · stsconsensus · none
51
citations
affunlabeled
Governing AI‐Driven Health Research: Are IRBs Up to the Task?
Phoebe Friesen, Rachel Douglas‐Jones, Mason Marks, Robin Pierce, Katherine Fletcher, Abhishek Mishra +7 more
2021· article· en· Ethics & Human Research· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
49
citations
affvenueunlabeled
The ethics of how to manage incidental findings
Carolyn Ells, Brett D. Thombs
2014· review· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · metaresearch+research_integrityconsensus · none
49
citations
afffundunlabeled
Registered access: authorizing data access
Stephanie O. M. Dyke, Mikael Lindén, Ilkka Lappalainen, Jordi Rambla, Knox Carey, David Lloyd +40 more
2018· article· en· European Journal of Human Genetics· Medicine
machine prediction:candidate · metaresearch+open_scienceconsensus · none
48
citations

How this was built: Screen · Findings · About