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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
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
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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 55 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.

affunlabeled
Examining Safer Opioid Supply Policies
Bohdan Nosyk, Amanda Slaunwhite, Karen Urbanoski
2024· article· en· JAMA Internal Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Low-lying Fruit or the Wrong Tree?
Fredrick K. Orkin, Peter G. Duncan
2010· article· en· Anesthesiology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Les assurances privées en santé : l’exception canadienne ?
François Béland, Amélie Quesnel‐Vallée, André‐Pierre Contandriopoulos, C. Cambourieu
2008· book-chapter· fr· Les Presses de l'Université de Montréal eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three essays in health economics
Eugenia Amporfu
2004· dissertation· en· Summit (Simon Fraser University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(11)70072-6
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(07)70521-9
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1558-0164(10)70336-9
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
The Ultimate Challenge
Michael E. Whitcomb
2007· editorial· en· Academic Medicine· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Bush wins changes in Medicare benefits
J. Lenzer
2003· article· en· BMJ· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Financing Healthcare With Earmarked Taxes
Janice MacKinnon, Jack Mintz, Mukesh Khanal
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Tackling the Issue of High Users of Healthcare
Howard A. Zucker
2014· 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
0
citations
affunlabeled
Medical ethics and physician motivations
B. Andrews
2024· article· en· Journal of Health Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
How do Patient Care Quality Facets Differ Across North America?
Subhajit Chakraborty, Jorge A. González, Miguel Sahagún, Cara-Lynn Scheuer
2024· article· en· Academy of Management Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1544-8800(05)70104-4
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(09)70218-6
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Saving the Safety Net
E Thompson
2018· letter· en· AJN American Journal of Nursing· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Understanding Medicaid
Michael B. Garrett
2008· article· en· Professional Case Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Another View on Medical Care Delivery
Lawrence R. Robinson
2015· letter· en· American Journal of Physical Medicine & Rehabilitation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Inconvenient truth
Andre C. Piver
2022· letter· en· Canadian Family Physician· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
New litigation limit leads to storage woes
M. Catton
2005· article· en· Canadian Medical Association Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1553-3212(06)71505-9
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Health Policy – the best evidence for better policies
Wilm Quentin, Katharina Achstetter, Pedro Pita Barros, Carl Rudolf Blankart, Giovanni Fattore, Patrick Jeurissen +10 more
2023· editorial· en· Health Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Wake-Up Call for Healthcare Boards
Maura Davies
2010· article· en· Healthcare Quarterly· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
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