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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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British Journal of Sports Medicine
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Retraction
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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.

1,221 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.
1,221 works in the cohort · of 4,299,418page 23 of 25

Labels cover 3 of 1,221 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 1,221 of 1,221 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
Narrowing the gap
Genevieve Renaud, Christopher Napier
2023· article· en· British Journal of Sports Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Answer: What is the Diagnosis?
J. O’Brien, Jack Taunton, J Larsen, Bruce B. Forster
2011· article· en· British Journal of Sports Medicine· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A sample of headache incidence in post concussive patients
Donna Ouchterlony, Patricia Johnson, Amy P. Wong, Alicja Michalak, Jane Topolovec‐Vranic, Cheryl Masanic +1 more
2013· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Pre-injury variables and risk of sport concussion
Sandhya Mylabathula, Lynda Mainwaring, Michael G. Hutchison, Doug Richards, Paul Comper
2017· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
SYMPOSIUM SPONSORS AND COMMITTEE MEMBERS
Alex Scott
2013· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
22-year-old woman with acute-on-chronic ankle pain
Bippan S. Sangha, Julia Grebenyuk, Teri V. Fisher, Bruce B. Forster
2010· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
WHAT DOES RETURN TO PRE-INJURY RISK MEAN?
Ian Shrier, Meng Zhao, Alexandre Piché, Pavel Slavchev, Russell Steele
2017· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mid-tarsal (Chopart) joint ligamentous injury
G. Ahmad, J. H. Koenig, Haroon Majeed, Bruce B. Forster
2025· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Infographic: Injury and illness, the 2016 Olympic Games
Torbjørn Soligard, Kathrin Steffen, Debbie Palmer, Juan Manuel Alonso, Roald Bahr, Alexandre Días Lópes +8 more
2018· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Reliability of the scat2/3 in college athletes
Martin Mrázik, Jessica Lenchyshyn, Carley Borza, Dhiren Naidu, Constance Lebrun
2017· article· en· British Journal of Sports Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

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