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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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Traumatic Brain Injury and Neurovascular Disturbances
Retraction
Abstract
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Study design
Label agreement
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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.

2,360 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 10 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.

afffundno abstractunlabeled
Age-dependence of intracranial viscoelastic properties in living rats
Alexander V. Shulyakov, Stefan Cenkowski, Richard Buist, Marc R. Del Bigio
2010· article· en· Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Neuroimaging in trauma
2007· article· en· Current Opinion in Neurology· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
Where to Build the Bridge Between Evidence and Practice?
Mark Bayley, Robert Teasell, Dalton L. Wolfe, Russell L. Gruen, Janice J. Eng, Jamshid Ghajar +3 more
2014· article· en· Journal of Head Trauma Rehabilitation· Medicine
machine prediction:candidate · metaresearchconsensus · none
42
citations
affunlabeled
Influence of Posture on the Regulation of Cerebral Perfusion
Jinelle C. Gelinas, Katelyn R. Marsden, Yu‐Chieh Tzeng, Jonathan D. Smirl, Kurt J. Smith, Chris K. Willie +6 more
2012· article· en· Aviation Space and Environmental Medicine· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
venueno affno abstractunlabeled
Age-related changes in the human optic nerve
Carlo Cavallotti, Elena Pacella, Nicola Pescosolido, Francesca Maria Tranquilli-Leali, János Fehér
2002· article· en· Canadian Journal of Ophthalmology· Medicine
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Top-Cited Articles in Traumatic Brain Injury
Bhanu Sharma, David W. Lawrence
2014· review· en· Frontiers in Human Neuroscience· Medicine
machine prediction:candidate · bibliometricsconsensus · none
40
citations
affno abstractunlabeled
Core outcomes for subarachnoid haemorrhage
Chris Andersen, Justin Presseau, Victoria Saigle, Nima Etminan, Mervyn D. I. Vergouwen, Shane English
2019· letter· ceb· The Lancet Neurology· Medicine
machine prediction:candidate · noneconsensus · none
39
citations
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How this was built: Screen · Findings · About