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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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Sports Performance and Training
Retraction
Abstract
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,636 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,636 works in the cohort · of 4,299,418page 40 of 53

Labels cover 5 of 2,636 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 2,636 of 2,636 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.

affno abstractunlabeled
APPLIED KINESIOLOGY
Daniel J. Benor
2014· letter· en· EXPLORE· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Technical-Methodological Report
Peter J. Keir, Veronica Jamnik, Norman Gledhill
2003· article· en· The Journal of Strength and Conditioning Research· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affaboutunlabeled
RESPONSE
Michael E. Tschakovsky, E. Victoria Wiltshire
2011· article· en· Medicine & Science in Sports & Exercise· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yhls.2016.05.042
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Concept and text:
2012· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Exercise Testing
Simon Bacon, Alexandre Elhalwi
2020· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
FREQUÊNCIA DE LOMBALGIA EM CICLISTAS MOUNTAIN BIKE AMADORES
Mariana Rodrigues Silva, Otavio Henrique Cardoso Leite, Danyane Simão Gomes, María Georgina Marques Tonello
2017· article· pt· Anais do Congresso Brasileiro da Associação Brasileira de Fisioterapia Traumato-Ortopédica - ABRAFITO· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Skating
R. Neil Humble
2017· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About