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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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Pharmaceutical Economics and Policy
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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.

1,682 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.
1,682 works in the cohort · of 4,299,418page 2 of 34

Labels cover 5 of 1,682 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 1,682 of 1,682 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
Extraordinary claims require extraordinary evidence
Donald W. Light, Rebecca Warburton
2005· letter· en· Journal of Health Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
83
citations
affaboutunlabeled
The risks and costs of multiple-generic substitution of topiramate
Mei Sheng Duh, Pierre Emmanuel Paradis, Dominick Latrémouille-Viau, P E Greenberg, S. P. Lee, Michael Durkin +3 more
2009· article· en· Neurology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
Are Patents Impeding Medical Care and Innovation?
E. Richard Gold, Warren Kaplan, James Orbinski, Sarah Harland-Logan, Sevil N‐Marandi
2010· article· en· PLoS Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
69
citations
affvenueaboutunlabeled
Generic Substitution for Brand Name Antiepileptic Drugs: A Survey
A. Guberman, Céline Corman
2000· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
63
citations
affunlabeled
Brand Name versus Generic Warfarin: A Systematic Review of the Literature
Francesco Dentali, Marco Paolo Donadini, Nathan P. Clark, Mark Crowther, David García, Elaine M. Hylek +2 more
2011· review· en· Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
60
citations
affunlabeled
HEALTH TECHNOLOGY REASSESSMENT OF NON-DRUG TECHNOLOGIES: CURRENT PRACTICES
Laura E. Leggett, Tom Noseworthy, Mahmood Zarrabi, Diane Lorenzetti, Lloyd R. Sutherland, Fiona Clement
2012· review· en· International Journal of Technology Assessment in Health Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
57
citations
aboutno affno abstractunlabeled
Generic medications for you, but brand-name medications for me
Amy J. Keenum, Jennifer E. DeVoe, Deena J. Chisolm, Lorraine S. Wallace
2012· article· en· Research in Social and Administrative Pharmacy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
55
citations
afffundaboutunlabeled
Drug Spending in Canada
Steve Morgan
2004· article· en· Medical Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
50
citations
afffundunlabeled
Drug Shortages Prior to and During the COVID-19 Pandemic
Katherine Callaway Kim, Scott D. Rothenberger, Mina Tadrous, Inmaculada Hernandez, Walid F. Gellad, Joshua W. Devine +3 more
2024· article· en· JAMA Network Open· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
49
citations
aboutno affunlabeled
The dangerousness of drugs
Robin Room
2006· review· en· Addiction· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
49
citations

How this was built: Screen · Findings · About