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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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Mental Health and Patient Involvement
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.

2,997 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.
2,997 works in the cohort · of 4,299,418page 57 of 60

Labels cover 48 of 2,997 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 2,997 of 2,997 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.

affvenueaboutunlabeled
Mental health system change
Meagan Wiederman, Celina Everling, Nathan Leili, Saba Shahab
2020· article· en· University of Western Ontario Medical Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Frontmatter
J. R. Lord, Geoffrey Nelson, Joanna Ochocka
2001· book-chapter· en· University of Toronto Press eBooks· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Cybaeus tardatus Chamberlin 1924
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Tunney's Pasture
2008· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
The development and implementation of an innovative community-based intervention to strengthen community capacity for HIV prevention and care among Canadians of African Caribbean and Black (ACB) women in Ontario: a research protocol
Josephine Etowa, Notisha Massaquoi, Francisca Omorodion, Danielle Brown-Shreves, Ilene Hyman, Akalewold T. Gebremeskel +12 more
2025· article· en· Global Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Commentaire / Commentary
Michel Perreault, MARIA ANTONIETTA RUBIO TYRELL
2017· article· en· Aporia· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About