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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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Agriculture and Rural Development Research
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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.

2,854 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.
2,854 works in the cohort · of 4,299,418page 50 of 58

Labels cover 9 of 2,854 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 2,854 of 2,854 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.

fundno affunlabeled
ROP volume 73 issue 1 Cover and Front matter
2011· article· en· The Review of Politics· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
Guide de présentation pour les enquêtes
2017· article· fr· Relevé des maladies transmissibles au Canada· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
INDEX ANALYTIQUE
2009· article· fr· Revue du notariat· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Les agriculteurs au Québec entre survie et expansion
Lucio Castracani
2019· book-chapter· fr· Presses de l'Université du Québec eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Souverainetés et autodéterminations autochtones
Geneviève Motard, Geneviève Nootens, Jean-Michel Beaudoin, Luc Bouthillier, Guy Chiasson, Michael Coyle +8 more
2022· book· fr· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Les modèles productifs
Miloud CHENNOUFI
2001· article· fr· Management international· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
ALLOCUTION D’OUVERTURE
Lynn Drapeau
2023· article· fr· Revue québécoise de droit international· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Haïti
Ilna Daniel
2010· book-chapter· fr· Presses de l'Université du Québec eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Rituel pour 201 pommes de terre
Lucile Haute
2024· article· fr· Écosystème· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Manuel numérique
Chantal Roussel, Marie-Michèle Lemieux, Alain Huot
2022· book-chapter· fr· Presses de l'Université du Québec eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Statistiques sociales avec SPSS™
Louis Imbeau
2016· book· fr· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
3.trees-on-farms-diversity-sample-trees-land-use.tab
Geovana Carreño-Rocabado, Willan Caicedo, Bryan Finegan, Miguel Cifuentes, Jenny Ordóñez
2018· dataset· en· Harvard Dataverse· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Quel montant devrais-je consacrer au marketing?
Zoey Duncan
2021· article· fr· Canadian journal of optometry/CJO. Canadian journal of optometry· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Un GPS Pour Le Canada
2021· book-chapter· fr· Les Presses de l'Université de Montréal eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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