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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
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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 24 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.

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
affno abstractunlabeled
When Health Data Go Dark: A Call to Restore DHS Program Funding
Jessie Jane Khaki, Jil Molenaar, Sulata Karki, Emmanuel Olal, Manuela Straneo, Marie Alice Mosuse +23 more
2025· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Reply to: Concerns about the Burden of Proof studies
Aleksandr Y. Aravkin, Susan A. McLaughlin, Peng Zheng, Haley Lescinsky, Michael Bräuer, Simon I Hay +1 more
2023· letter· en· Nature Medicine· Economics, Econometrics and Finance
machine prediction:candidate · metaresearchconsensus · none
5
citations
affaboutunlabeled
Are Longer Hospital Stays Beneficial for the Elderly?
M. Suzanne Sheppard, Melanie R Rathgeber, Joanne Franko, Diane M Treppel, Sharon E. Card, Cordell Neudorf
2002· article· en· Healthcare Quarterly· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Impact of Medical Legal Partnerships: A Scoping Review
Danny Jomaa, Chalani Ranasinghe, Nicole Raymer, Michele Leering, Imaan Bayoumi
2023· review· en· University of Toronto Journal of Public Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
The politics and analytics of health policy
Calum Paton
2014· article· en· International Journal of Health Policy and Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueaboutunlabeled
Variations in Lifetime Healthcare Costs
Evelyn L. Forget, Leslíe L. Roos, Raisa Deber, Randy Walld
2008· article· fr· Healthcare policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Time to respond to in-store clinics.
J. Scott Nystrom
2008· letter· en· PubMed· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Bundling Care and Payment: Evidence From Early-Adopter
Jan Jacobs, Imtiaz Daniel, G. Ross Baker, Adalsteinn Brown, Walter P. Wodchis
2015· article· en· TSpace· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Principles to Improve Value in Healthcare
Walter P. Wodchis
2019· 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
5
citations

How this was built: Screen · Findings · About