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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.

679 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.
679 works in the cohort · of 4,299,418page 5 of 14

Labels cover 1 of 679 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 679 of 679 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Case-Based Learning in Dermatology
2018· article· en· Journal of Cutaneous Medicine and Surgery· Social Sciences
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Effectiveness, efficiency, and e-learning
2008· letter· en· Advances in Health Sciences Education· Social Sciences
distilled prediction:candidate · stsconsensus · none
11
citations
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How this was built: Screen · Findings · About