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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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Diet and metabolism studies
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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.

3,058 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.
3,058 works in the cohort · of 4,299,418page 59 of 62

Labels cover 12 of 3,058 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 3,058 of 3,058 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
M69. CYP2D6 AND SCHIZOPHRENIA SYMPTOM SEVERITY
Arun Tiwari, Clement C. Zai, Natalie Freeman, Sri Mahavir Agarwal, Margaret Hahn, George Foussias +1 more
2025· article· en· European Neuropsychopharmacology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Neuroimaging in Exercise Sciences
Lukas Scheef, Marcel Daamen, Henning Boecker
2011· article· de· RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Supplementary Tables
Riani Ananda Nunes Soares, Maria Malane Magalhães Muniz, G. Vargas, T.F. Duffield, Christine F. Baes, E. James Squires +1 more
2023· supplementary-materials· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Fat, Dietary Intake
Tavis S. Campbell, Jillian A. Johnson, Kristin A. Zernicke
2020· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Matheus Buechenberg (b1015)
2024· dataset· de· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
The Small Intestine
P. Poitras, J. Carrier, V. Marchand, A. Serme, G. Soucy, Jacques Allard
2022· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About