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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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Cardiomyopathy and Myosin Studies
Retraction
Abstract
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Study design
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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.

1,823 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.
1,823 works in the cohort · of 4,299,418page 29 of 37

Labels cover 1 of 1,823 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 1,823 of 1,823 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
Cardiomyopathy
M. GABRIEL KHAN
2006· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1283-0828(16)52987-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundno abstractunlabeled
Residual force depression in cardiac myofibrils
Seong-won Han, Torri Heiser, Venus Joumaa, Walter Herzog
2025· article· en· Journal of Biomechanics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Recomendaciones para el uso de Diferentes Modalidades de Imágenes Cardíacas en Pacientes con Enfermedad de Chagas: Reporte de la Sociedad Americana de Ecocardiografía en Colaboración con la Sociedad Interamericana de Ecocardiografía (ECOSIAC) y el Departamento de Imágenes Cardíacas de la Sociedad Brasilera de Cardiología (DIC-SBC)
Harry Acquatella, Federico M. Asch, Márcia M. Barbosa, Márcio Alexandre Buchholz de Barros, Caryn Bern, João Lucas de Sena Cavalcante +12 more
2018· article· es· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
UNIVERSITE DE MONTREAL
2013· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Hypertrophic Cardiomyopathy
Áine Lynch, Aamir Jeewa
2024· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About