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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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Health, Medicine and Society
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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.

3,958 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.
3,958 works in the cohort · of 4,299,418page 13 of 80

Labels cover 10 of 3,958 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 3,958 of 3,958 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.

venueno affno abstractunlabeled
Développement et validation d’une tâche pour dépister le risque de présenter des comportements inappropriés socialement suite à un traumatisme cranio-cérébral : La tâche de décision sociale.
Jean Gagnon, Lucien Rochat, Frédéric Messier, François Chiocchio, Charlotte Sordes, Josée Beaulieu +1 more
2017· article· fr· Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Les preuves de la filiation
Jean Pineau
2005· article· en· Les Cahiers de droit· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Étrange familiarité du Windigo
Gilles Bibeau
2008· article· fr· Santé mentale au Québec· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Cécités et créations
María Fernanda Arentsen, Hannah Thompson
2019· article· fr· Canadian Journal of Disability Studies· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
L’ethos palliatif
Thomas De Koninck
2021· article· fr· Théologiques· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Le droit de punir
José Martín Botella Rico
2005· article· en· Criminologie· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Geriatric Pathology <i>à L'ancienne</i>
John Wortley
2001· article· en· The International Journal of Aging and Human Development· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Gadamer lecteur de Dilthey
Johann Michel
2018· article· fr· Philosophiques· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Psychologie de la bientraitance professionnelle
Nathalie Houlfort, Robert J. Vallerand, Charles Martin‐Krumm
2016· book-chapter· fr· Dunod eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Résumés des communications
2003· article· fr· Phytoprotection· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
Psychiatrie légale canadienne et française
Sébastien Prat, Noëmie Praud, Sarah Duval-Etienne, Lauren E. Barney
2019· article· fr· International Journal of Risk and Recovery· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About