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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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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 15 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.

affunlabeled
Using multiple imputation to estimate missing data in meta‐regression
E. Hance Ellington, Guillaume Bastille‐Rousseau, Cayla Austin, Kristen N. Landolt, Bruce A. Pond, Erin E. Rees +2 more
2014· article· en· Methods in Ecology and Evolution· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
75
citations
affunlabeled
Reporting of Factorial Randomized Trials
Brennan C Kahan, Sophie Hall, Elaine Beller, Megan Birchenall, An‐Wen Chan, Diana Elbourne +9 more
2023· review· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
73
citations
affgemma · metaresearch+scholarly_communicationgpt · metaresearch+research_integritymodels split
Dealing with predatory journal articles captured in systematic reviews
Danielle B. Rice, Becky Skidmore, Kelly D. Cobey
2021· letter· en· Systematic Reviews· Decision Sciences
machine prediction:candidate · metaresearch+research_integrityconsensus · metaresearch
73
citations
affunlabeled
SPIRIT 2025 Statement
An-Wen Chan, Isabelle Boutron, Sally Hopewell, David Moher, Kenneth F. Schulz, Gary S. Collins +32 more
2025· letter· en· JAMA· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
72
citations
affunlabeled
Complication Reporting in Orthopaedic Trials
Sabine Goldhahn, Takahiro Sawaguchi, Laurent Audigé, Raman Mundi, Beate Hanson, Mohit Bhandari +1 more
2009· review· en· Journal of Bone and Joint Surgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
71
citations
affunlabeled
Levels of Evidence in the Neurosurgical Literature
Blake Yarascavitch, Jennifer E. Chuback, Saleh A. Almenawer, Kesava Reddy, Mohit Bhandari
2012· review· en· Neurosurgery· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
69
citations

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