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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
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
Evidence
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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 41 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.

aboutno affno abstractunlabeled
What Is a Medical Transport Program?
Eileen Frazer
2010· article· en· Air Medical Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueno abstractunlabeled
Doing What’s Best
Guylaine Lefebvre
2009· article· en· Journal of Obstetrics and Gynaecology Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The $13 14 Billion Case for Safety in Healthcare
Scott Harris
2014· article· en· ASSE Professional Development Conference and Exposition· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Value(s) for Money? Assessing Romanow and Kirby
Nuala Kenny
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
affvenueaboutunlabeled
Envisioning Safer Healthcare
Lucy A. Savitz
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
affno abstractunlabeled
Workforce. Make sure nurse numbers add up.
Jane Ball, Howard Catton
2011· article· en· PubMed· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
I wish the penny had dropped sooner…
Ian Mitchell
2015· article· en· Paediatrics & Child Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Drug pricing reforms promising but problematic
Lauren Vogel
2017· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Advanced access appointments
John C. Hudec, Steven MacDougall, Elaine Rankin
2010· article· en· Canadian Family Physician· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueaboutunlabeled
Physician pay inequity: time to act?
Lauren M. Eastman, Sukhy K Mahl, Shoo K Lee
2023· article· en· Canadian Health Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundvenueunlabeled
Will the Real Physician Retirees Please Stand Up?
Lindsay Hedden, M. Ruth Lavergne, Kimberlyn McGrail, Michael R. Law, Lucy Cheng, Megan Ahuja +1 more
2018· article· en· Healthcare policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Comment on: Letter to the Editor by Harding and Illes
Lutz Weise
2020· letter· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Alberta is back at it, goading the feds
Charlotte Gray
2000· article· en· Europe PMC (PubMed Central)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Le système de santé au Canada
Michel Grignon
2008· article· fr· Revue française des affaires sociales· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About