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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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Health Systems, Economic Evaluations, Quality of Life
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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.

6,862 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.
6,862 works in the cohort · of 4,299,418page 131 of 138

Labels cover 97 of 6,862 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 6,862 of 6,862 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.

affvenueno abstractunlabeled
MedPulse
Devin Roshan, E.Z.-F. Liu
2018· article· en· The Meducator· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
2024 NeuGeneration Case Competition: Neurodiversity
Eileen Danaee, Adam Renato Carbonara, Neleah Lavoie
2024· article· en· Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
DOES A HEART TEAM ACTUALLY IMPROVE CLINICAL OUTCOMES?
Joel Scott-Herridge, John Ducas, Philip J. Garber, Ramon Felix Martins Fernandes, William F. McIntyre, Brett Hiebert
2019· article· en· Canadian Journal of Cardiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Correspondence to
2014· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueno abstractunlabeled
MedPulse
Devin Roshan, Kelsie Ou
2018· article· en· The Meducator· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
OP69 Initiatives To Improve The Timeliness Of Cancer Diagnosis
Michelle Pollock, Rodger Craig, Dagmara Chojecki, Bing Guo
2019· article· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cost–utility analysis of a palliative care program in Colombia
Luisa Fernanda Rodríguez-Campos, Paul Andrés Rodríguez Lesmes, Analhi Palomino Cancino, Iris del Valle Díaz, Luis Fernando Gamboa, Andrea Castillo Niuman +4 more
2022· preprint· en· Research Square· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Investigating ADEPT's Utility: An Exploration of the Literature
Omar Elazhary, Enrique Larios Vargas, Alessandra Maciel Paz Milani, Margaret‐Anne Storey
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutno abstractunlabeled
758 High Use of Guideline-Recommended Therapies in Canadian Outpatients with Stable Coronary Artery Disease: Insights From the Prospective Observational Longitudinal Registry of Patients With Stable Coronary Artery Disease (CLARIFY) Registry
Saurabh Gandhi, Paul Dorian, J.C. Tardif, Philippe Gabríel Steg, T. Huynh, G.C. Wong +3 more
2012· article· en· Canadian Journal of Cardiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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