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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.

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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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Healthcare Policy and Management
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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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venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,600 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.
3,600 works in the cohort · of 4,299,418page 42 of 72

Labels cover 5 of 3,600 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 3,600 of 3,600 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.

venueno affunlabeled
Is Dialysis Always Justified? Ethics and Economics
M. Oadri, Naveen K. Atray, Tushar J. Vachharajani
2004· article· en· Hemodialysis International· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Failure Is the New Success
Joshua Tepper, Danielle Martin
2015· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
A Contemporary Economic Model of CKD in the United States
Andrew Briggs, Ciaran Kohli‐Lynch, Satabdi Chatterjee, B.M.K. Donato, Adrian R. Levy, Csaba P. Kövesdy
2024· article· en· Journal of the American Society of Nephrology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Is the United States ready for Universal Healthcare?
Fardin Quazi, Nandhakumar Raju
2025· article· en· Asia Pacific Journal of Health Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Private medical care comes to Canada
2005· editorial· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Authors' reply
Peter C. Austin, Paul Grootendorst, Sharon‐Lise T. Normand, G. M. Anderson
2007· article· en· Statistics in Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Taking triple aim at the Triple Aim
2016· article· en· ResearchOnline (Glasgow Caledonian University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Public/Private Pragmatism
S Weatherill
2004· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
NS to pay for doctor–patient phone calls
Donalee Moulton
2016· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Notes on Value for Money in Healthcare
Aidan Hollis
2009· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Canada’s Experience with the ICAP
Allison Christians, Tarcísio Diniz Magalhães
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Health Economics
Åke Blomqvist
2015· book-chapter· en· Elsevier eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Canadian Health-Care Reform: What Kind? How Much? Why?
Harvey Lazar, Pierre‐Gerlier Forest, John N. Lavis, John Church
2013· book-chapter· en· McGill-Queen's University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Long Term Care Risk Misperceptions
M. Martin Boyer, Philippe De Donder, Claude Fluet, Marie‐Louise Leroux, Pierre‐Carl Michaud
2018· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Thoughts on the Day: Strategic Purchasing and Equity
Raisa Deber, Steven Lewis
2007· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Cutting Health Care Spending
Metta Winter
2000· article· en· Human Ecology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
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