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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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Evaluation and Performance Assessment
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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
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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.

2,407 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.
2,407 works in the cohort · of 4,299,418page 32 of 49

Labels cover 84 of 2,407 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 2,407 of 2,407 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 affgemma · no categorygpt · no categorymodels split
La formation à la recherche des enseignants au Québec
Jean‐Marie Van der Maren
2008· article· fr· Recherche & formation· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Conclusions
Janet Mola Okoko, Scott Tunison, Keith Walker
2023· book-chapter· en· Springer texts in education· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Extending research practices
2010· other· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Mixed Effects Modelling
2025· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Validity
2014· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response to R. Ellaway
Jill Konkin, Carol Suddards
2012· letter· en· Advances in Health Sciences Education· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La réflexion prospective: Sa pratique et son potentiel
Tom Bentley, Raymond Daigle, Walo Hutmachter, H. Svi Shapiro, Charles Ungerleider
2006· paratext· fr· ˜L'œécole de demain· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What You Don’t Know about Evaluation
Philip M. Anderson, Judith P. Summerfield
2006· book-chapter· en· Palgrave Macmillan US eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Choosing model-building methods
Lawrence A. Boland
2014· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
What’s a Nice Pharmacist like You Doing on the CBC?
Jennifer Ryan, Danica Lister, Michael LeBlanc
2008· article· en· The Canadian Journal of Hospital Pharmacy· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From the Editor
Chunghui Kuo
2022· article· en· Journal of Imaging Science and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About