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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
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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 29 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.

affunlabeled
Postscript: That Was Then, This Is Now
J. Bradley Cousins, Isabelle Bourgeois
2014· article· en· New Directions for Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affgpt · no categorygrok · insufficient_payloadopus · insufficient_payloadmodels split
Issue Information
Jennifer R. Brown, Urban Archibald, Monica Hargraves, Jane Buckley, Claire Hebbard, Miriam R. Linver +3 more
2021· paratext· en· New Directions for Evaluation· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Editorial: Research: Why is it done?
J. T. Trevors
2004· editorial· en· Water Air & Soil Pollution· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Collaborative Evaluation
J. Bradley Cousins
2006· article· en· Journal of MultiDisciplinary Evaluation· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Next Generation of Impact Assessment
Meinhard Doelle, A. John Sinclair
2021· article· en· eYLS (Yale Law School)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affaboutunlabeled
The Canada Research Chairs Program
Glen Jones
2015· article· en· International Higher Education· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
A Citizen-Led Approach to Enhancing Community Well-Being
Sylvia Cheuy, Leesa Fawcett, Karen Hutchinson, Tracey Robertson
2016· book-chapter· en· International handbooks of quality-of-life· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations

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