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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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Aging, Elder Care, and Social Issues
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
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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.

2,429 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.
2,429 works in the cohort · of 4,299,418page 29 of 49

Labels cover 6 of 2,429 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 2,429 of 2,429 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.

aboutno affunlabeled
Message d'accueil
Récit Atnq
2006· article· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
homicides familiaux
Maurice Cusson, Jacques D. Marleau
2008· book· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Familles
Martine Fournier
2002· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Familles
Martine Fournier
2002· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Émilie Monnet (b.1979)
Lindsay Lachance
2023· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
prevention du crime
Maurice Cusson
2006· book· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Elder Care
2014· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
À propos de l’Observatoire de la retraite
Riel Michaud-Beaudry, François L’Italien, Frédéric Hanin
2022· book-chapter· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Inclusion without access
Elaine Cagulada, Tanya Titchkosky
2024· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Perspectives on Gender and Unpaid Caregiving
Joanne Hussey, Erika Burger, Barbara Clow, Josephine Etowa, Wanda Thomas Bernard
2006· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Traiter avec des personnes âgées
André Thibault
2006· article· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
COVID-19. Mesures pour la gestion des cas et des contacts dans les centres d'hébergement et de soins de longue durée pour aînés : recommandations intérimaires / auteur, Comité sur les infections nosocomiales du Québec (CINQ) ; rédactrice, Suzanne Leroux ; sous la coordination de Suzanne Leroux
Comité sur les infections nosocomiales du Québec auteur, Leroux, Suzanne auteur éditeur intellectuel
2020· article· fr· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About