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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
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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 20 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
Diagnostic
Eléonore Genolhac
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Boule de cristal pour employeurs proactifs
Michel Cossette, Claudine Auger
2015· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Louis Morissette, l’homme pluriel
Claudine Auger, Maude Chauvin
2024· article· fr· Gestion· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Le kata dojo  : révélez le coach en vous !
Tilo Schwarz, Sylvain Landry, Jean-Marc Legentil, Marc-Olivier Legentil, Emmanuelle Gril
2020· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
L’IA vous rendra-t-elle paresseux ?
Jean-François Venne
2024· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
En avant la musique !
Liette d’Amours, Sylvain Lafrance
2016· article· fr· Gestion· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
L’énergie au Québec
Johanne Whitmore
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
L’actionnariat collectif, version LG2
Jean-François Venne
2023· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Le leader de demain
Simona Camelia Plopeanu
2018· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Gestion des informations sur un site Web
Sylvie Héroux, Christiane Demers
2009· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Vers un numérique durable
Mélina Béland, Sylvain Amoros
2024· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
L’inadéquation du mobile
Christian Dussart
2015· article· fr· Gestion· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Henry Mintzberg sans compromis
François Normandin
2016· article· fr· Gestion· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Accompagner pour changer
Céline Bareil
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Les maillons forts des entreprises
Isabelle Giguère
2019· article· fr· Gestion· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Le facteur humain
Sylvain Lafrance
2021· article· fr· Gestion· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
La diversité comme avantage concurrentiel
Sylvain Lafrance
2018· article· fr· Gestion· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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