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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.

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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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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.

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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.

1,710 results · 1 filter active ·
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20012025
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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.
1,710 works in the cohort · of 4,299,418page 19 of 35

Labels cover 4 of 1,710 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 1,710 of 1,710 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 affunlabeled
Le moment de partir
Claudine Auger
2023· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Du spleen au stress
Claudine Auger
2024· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Larry Smith et Les Alouettes de Montréal
Jacqueline Cardinal, Laurent Lapierre
2004· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Un monde transformé
2021· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Mot de la rédactrice en chef
Sylvie St‐Onge
2010· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Recensions de livres
2004· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Deux mètres
Sylvain Lafrance
2020· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Quand l’humour fait vendre !
Bruno Lussier, Emmanuelle Gril
2019· article· fr· Gestion· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Frances Haugen
Jean-François Venne
2024· article· fr· Gestion· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Libérer sa motivation au travail
Jacques Forest, Emmanuelle Gril
2023· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Donner au suivant ...
François Normandin
2016· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Votre équipe collabore-t-elle... trop ?
Jean-François Bertholet, Marie‐Claude Gaudet
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Ghislain Picard : l’homme qui écoute
Claudine Auger, Martin Girard
2022· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About