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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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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
fundfunder
venuejournal
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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.

3,600 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 23 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
Our Advice? Get a Budget!
Matthew Brougham, Scott Metcalfe, Wayne McNee
2002· 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
6
citations
affno abstractunlabeled
Is access to intensive care equitable?
Claudio M. Martin
2018· editorial· en· Critical Care· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affvenueaboutunlabeled
Correcting the record
2014· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Accountability: Unpacking the Suitcase
Adalsteinn Brown, Christina Porcellato, Jan Barnsley
2006· article· en· Healthcare Quarterly· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Custom-made health-care: an experimental investigation
Claudia Keser, Claude Montmarquette, Martin Schmidt, Cornelius Schnitzler
2020· article· en· Health Economics Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
venueaboutno affunlabeled
Hospital Standardized Mortality Ratio Is a Useful Burning Platform
Catherine Zahn, Michael Baker, John MacNaughton, Cara Flemming, Robert S. Bell
2008· 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
6
citations
aboutno affunlabeled
The Effect of Emergency Waiting Time on Patient Satisfaction
Ghasem S. Alijani, Obyung Kwun, Adnan Omar, Jeanine Williams
2015· article· en· Academy of Information and Management Sciences journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
More arithmetic of health care
R.Y. McMurtry
2005· letter· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affno abstractunlabeled
Why did employee health insurance contributions rise?
Jonathan Gruber, Robin McKnight
2003· preprint· en· Journal of Health Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Developing a home for midwives
Lesley Page
2003· article· en· British Journal of Midwifery· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Do Nice Patients Receive Better Care?
Allan S. Detsky, Mark O. Baerlocher
2011· article· en· JAMA· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
6
citations
venueaboutno affunlabeled
Why Healthcare Renewal Matters: Lessons from Diabetes
Diane Watson, Michael Hillmer, Farrah Prebtani, Kira Leeb
2007· 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
5
citations
affunlabeled
Perhaps the Correct Answer Is
Hailey R. Banack, Jay S. Kaufman
2013· letter· en· Epidemiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
Determinants of Stress in Medical Practice
Michele Campolieti, Douglas Hyatt, Boris Kralj
2007· article· en· Relations industrielles· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations

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