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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.

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.

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 26 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.

affunlabeled
Registries for orphan drugs: generating evidence or marketing tools?
Carla E. M. Hollak, Sandra Sirrs, Sibren van den Berg, Vincent van der Wel, Mirjam Langeveld, Hanka Dekker +2 more
2020· article· en· Orphanet Journal of Rare Diseases· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
28
citations
affno abstractunlabeled
Problems of HRQL assessment
Eric Wong, Lisa Cronin, Lauren E. Griffith, E. Jan Irvine, Gordon H Guyatt
2001· article· en· Journal of Clinical Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
27
citations
affunlabeled
Model‐Informed Drug Development: Steps Toward Harmonized Guidance
Scott Marshall, Malidi Ahamadi, Jenny Y. Chien, Daisuke Iwata, Pavel Farkas, Augusto Filipe +18 more
2023· article· en· Clinical Pharmacology & Therapeutics· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
27
citations
afffundaboutunlabeled
Health Care Costs for State Transition Models in Prostate Cancer
Murray Krahn, Karen E. Bremner, Brandon Zagorski, Shabbir M.H. Alibhai, Wendong Chen, George Tomlinson +2 more
2013· article· en· Medical Decision Making· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Approaches for Economic Evaluations of Health Care Technologies
Jean‐Éric Tarride, Gord Blackhouse, Matthias Bischof, Elizabeth C. McCarron, Morgan Lim, Ilia Ferrusi +2 more
2009· article· en· Journal of the American College of Radiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Real-World Trials to Answer Real-World Questions
Nick Freemantle, Lawrence Blonde, Björn Bolinder, Robert A. Gerber, Richard Hobbs, L. Martínez +1 more
2005· article· en· PharmacoEconomics· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · metaresearch
27
citations
affunlabeled
Creating Value Through Learning Health Systems
Tracy Wasylak, Karen Benzies, Deborah McNeil, Pilar Zanoni, Kevin Osiowy, Thomas Mullie +1 more
2022· article· en· Nursing Administration Quarterly· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
27
citations

How this was built: Screen · Findings · About