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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.

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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.

1,171 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.
1,171 works in the cohort · of 4,299,418page 22 of 24

Labels cover 3 of 1,171 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 1,171 of 1,171 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.

afffundunlabeled
Pain experience of children with Christianson syndrome
Shajenth Premachandran, Don Daniel Ocay, Claudie Beaulieu, Jonathan Balduzzi, Diana-Luk Ye, Albena Davidova +6 more
2025· article· en· Pain· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Letter to the Editor of PAIN
Ellen N. Thompson
2004· letter· en· Pain· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Reply to Dr Haim Shapiro
Stéphanie Chevalier, Réjeanne Gougeon, Jordi Pérez, Yoram Shir
2005· article· en· Pain· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Reply
Naveen Eipe, John Penning, Fatemeh Yazdi, Ranjeeta Mallick, Lucy Turner
2016· letter· en· Pain· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Letter to the Editor
Girish P. Joshi, H. B. J. Fischer, Françis Bonnet
2014· letter· en· Pain· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Reply to Hoegh et al.
Eva Kosek, Daniel J. Clauw, Jo Nijs, Ralf Baron, Ian Gilron, Richard E. Harris +2 more
2023· article· de· Pain· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Reply
Jeffrey S. Mogil, Christine T. Chambers
2015· letter· en· Pain· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About