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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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Traumatic Brain Injury and Neurovascular Disturbances
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.

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.

2,360 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.
2,360 works in the cohort · of 4,299,418page 30 of 48

Labels cover 7 of 2,360 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 2,360 of 2,360 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
UpToDate
2023· article· en· Emergency Medicine News· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/s0246-0378(24)42745-0
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
Serum Biomarkers as Adjuncts to the National Institute for Health and Care Excellence Head Injury Guidelines (NG232, 2023) When Selecting Patients with Traumatic Brain Injury for Computed Tomography: A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury Study
Daniel Whitehouse, Ana Mikolić, Endre Czeiter, Sophie Richter, András Büki, Kevin Wang +5 more
2025· article· en· Journal of Neurotrauma· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Managing head injured patients
François Girard
2005· article· en· Current Opinion in Anaesthesiology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Preoperative assessment of optic nerve sheath diameter and heart rate variability to predict intraoperative brain condition in patients with supratentorial tumors: a prospective observational study
Mathangi Krishnakumar, Kadarapura Nanjundaiah Gopalakrishna, C. Dhritiman, Varadarajan Bhadrinarayan, Mouleeswaran Sundaram, Amit Goyal +2 more
2022· article· en· Journal of Clinical Monitoring and Computing· Medicine
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About