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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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Trauma and Emergency Care Studies
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.

2,127 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.
2,127 works in the cohort · of 4,299,418page 33 of 43

Labels cover 10 of 2,127 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 2,127 of 2,127 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.

aboutno affunlabeled
Commonly Missed Traumatic Injuries
Matthew D. Greer, Brian T. Wessman
2019· book-chapter· en· Cambridge University Press eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
departments: Phase III
2013· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Kenneth Dickson Jones
V. H. Needham
2011· article· en· BMJ· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · insufficient_payloadgpt · insufficient_payloadmodels agree
STUDY PROTOCOL Open Access
2013· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Guest Editorial: Introduction to the Trauma Special Issue
Timothy Craig Hardcastle, George Oosthuizen, Charlie Mock, Tarek Razek
2019· editorial· en· African Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Evidence-based approach for selecting human resources in urgent transport
Ana Elisa Laso-Alonso, Pablo del Villar‐Guerra, Cristina Molinos Norniella, Vicent Modesto-Alapont, David Pérez Solís, Alberto Pedro Lorandi Medina
2025· article· en· Anales de Pediatría (English Edition)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ácido tranexâmico no tratamento da hemorragia no trauma Ácido tranexâmico no tratamento da hemorragia no trauma Ácido tranexâmico no tratamento da hemorragia no trauma Ácido tranexâmico no tratamento da hemorragia no trauma Ácido tranexâmico no tratamento da hemorragia no trauma
Luís Teodoro da Luz, Ajith Kumar Sankarankutty, Edward Passos, Sandro Rizoli, Gustavo Pereira Fraga, Bartolomeu Nascimento
2012· article· pt· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Iso 21511 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Trauma systems: a global comparison
2025· article· en· Zurich Open Repository and Archive (University of Zurich)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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