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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
Evidence
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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 28 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.

afffundunlabeled
Nancy B and Nancy F
Leslie Burkholder
2001· article· en· Journal of Applied Philosophy· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The Ethics of Advocacy
Ellen M. Maccarone
2005· article· en· Environmental Philosophy· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Evolution of a Hospital Ethics Committee
Gershon H. Growe
2000· article· en· Annals of the New York Academy of Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Bioethics
Adèle Langlois
2013· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Chapitre 16. L’éthique de la santé globale
Daniel Weinstock
2013· book-chapter· fr· Presses Universitaires de France eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
“Social Contract” Remains a Useful Metaphor
Richard L. Cruess, Sylvia R. Cruess, Frederic W. Hafferty
2017· letter· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Currents in Contemporary Ethics
Yann Joly, Gillian Nycum
2007· article· en· The Journal of Law Medicine & Ethics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Good, the Bad, and the Inconvenient
Giles R. Scofield
2022· letter· en· The American Journal of Bioethics· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Ethics for Mental Health Professionals
S. Jack Olszewski
2024· book· en· Advances in healthcare information systems and administration book series· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Medical Oath Taking
Edward C. Halperin
2019· letter· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Learning Professionalism Under Stress
Benjamin Chin‐Yee
2017· article· en· Academic Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About