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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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Meta-analysis and systematic reviews
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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.

4,076 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.
4,076 works in the cohort · of 4,299,418page 78 of 82

Labels cover 359 of 4,076 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 4,076 of 4,076 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.

affaboutunlabeled
Statistics Commentary Series
David L. Streiner, Geoffrey R. Norman
2018· article· en· Journal of Clinical Psychopharmacology· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Basic statistical principles
Michael Cummings
2025· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Data Extraction form
2025· article· en· Figshare· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Hypothesis testing and error
Jordan Richard Schoenherr
2025· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Null Hypothesis Statistical Testing (NHST)
Megan E. Graham, Kathleen L. Slaney
2025· book-chapter· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
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How this was built: Screen · Findings · About