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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 medical practice
Retraction
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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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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

2,311 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.
2,311 works in the cohort · of 4,299,418page 7 of 47

Labels cover 23 of 2,311 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 2,311 of 2,311 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.

affunlabeled
Human rights education in patient care
Joanna N. Erdman
2017· review· en· Public health reviews· Health Professions
machine prediction:candidate · noneconsensus · none
26
citations
affaboutunlabeled
Canadian University Ethics Review
Susan Tilley, Louise Gormley
2007· article· en· Qualitative Inquiry· Health Professions
machine prediction:candidate · metaresearch+research_integrityconsensus · none
25
citations
affunlabeled
The development of nurses’ foundational values
Sastrawan Sastrawan, Jennifer Newton, Gabrielle Brand, Gulzar Malik
2021· article· en· Nursing Ethics· Health Professions
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Epistemic Courage
Jonathan Jenkins Ichikawa
2024· book· en· Health Professions
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Advancing the Concept of Moral Distress
Elizabeth Peter
2013· article· en· Journal of Bioethical Inquiry· Health Professions
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Dynamic axes of informed consent in Japan
Laura Specker Sullivan
2016· article· en· Social Science & Medicine· Health Professions
machine prediction:candidate · stsconsensus · none
23
citations

How this was built: Screen · Findings · About