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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.

affaffiliation
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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 56 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.

aboutno affunlabeled
„Eskimodiät“ – ein Mythos?
Peter Singer, Gesine Schulz-Berlekamp, Ali Seyf
2015· article· de· Ernährung & Medizin· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
THE REAL TASTE OF VICTORY
Jodie L. Rummer
2009· article· en· Journal of Experimental Biology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hydrolases & Lipases in GtoPdb v.2025.2
S P H Alexander, Patrick Doherty, David P. Fairlie, Christopher J. Fowler, Christopher M. Overall, Neil D. Rawlings +2 more
2025· article· en· IUPHAR/BPS Guide to Pharmacology CITE· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Obesity, Treatment of
Shirin Panahi, Vicky Drapeau, Raphaëlle Jacob, Angelo Tremblay
2019· book-chapter· en· Encyclopedia of Gastroenterology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Dyslipidaemia and Psychiatric Patients
Robin Menzies
2004· letter· en· The Canadian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cover Image
Janet B. McGill, Rajiv Agarwal, Stefan D. Anker, George L. Bakris, Gerasimos Filippatos, Bertram Pitt +9 more
2023· paratext· en· Diabetes Obesity and Metabolism· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueno abstractunlabeled
LOW BODY TEMPERATURE IN HEART FAILURE PATIENTS; PREVALENCE AND OUTCOMES
Ahmed Almarzuqi, Shaymaa Majeed Hamzah Al-Shammari, Mohamed Nabil Alama, Finlay A. McAlister, Justin A. Ezekowitz, Erik Youngson +2 more
2024· article· en· Canadian Journal of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About