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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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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.

27 results · 1 filter active ·
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20002025
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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.
27 works in the cohort · of 4,299,418page 1 of 1

Labels cover 1 of 27 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 27 of 27 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
Outpatient Marijuana Treatment for Adolescents
Michael T. French, M. Christopher Roebuck, Michael L. Dennis, Susan H. Godley, Howard A. Liddle, Frank M. Tims
2003· review· en· Evaluation Review· Medicine
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
Measuring Stakeholder Participation in Evaluation
Pierre‐Marc Daigneault, Steve Jacob, Joël Tremblay
2012· article· en· Evaluation Review· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
30
citations
affaboutunlabeled
Picking Up the Challenge
Susan Farrell, Elke D. Reissing
2004· article· en· Evaluation Review· Health Professions
machine prediction:candidate · noneconsensus · none
14
citations
afffundaboutgemma · no categorygpt · no categorymodels agree
Grief, Anger, and Relationality
Pia Kontos, Karen‐Lee Miller, Angela Colantonio, Cheryl Cott
2014· article· en· Evaluation Review· Social Sciences
machine prediction:candidate · noneconsensus · none
11
citations
aboutno affunlabeled
How to Begin a New Topic in Mathematics
Xin Ma, Constantinos Papanastasiou
2006· article· en· Evaluation Review· Social Sciences
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About