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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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Acute Ischemic Stroke Management
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

6,330 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.
6,330 works in the cohort · of 4,299,418page 85 of 127

Labels cover 16 of 6,330 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 6,330 of 6,330 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 affno abstractunlabeled
Stroke in Saskatchewan : a regional sample
Brenda Kwiatkowski
2013· article· en· University Library - University of Saskatchewan (University of Saskatchewan)· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
The Post Thrombotic Syndrome
Paolo Prandoni, Razvan Susan
2012· book-chapter· en· InTech eBooks· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
The Combination of Clinical Features, Transcranial Doppler, and Alberta Stroke Program Early Computed Tomography Score (Computed Tomography Angiography) in Predicting Outcome in Intravenous Recombinant Tissue Plasminogen Activator-Treated Patients
Maher Saqqur, Esseddeeg Ghrooda, Aftab Ahmad, Khurshid Khan, Muhammad Shazam Hussain, Ashfaq Shuaib
2016· article· en· Journal of Stroke and Cerebrovascular Diseases· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/s0246-0378(14)65721-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Iterating the ASPECTS <6 threshold
J Mocco, Michael Chen
2017· letter· en· Journal of NeuroInterventional Surgery· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About