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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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Journal of Health Services Research & Policy
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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.

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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.

174 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.
174 works in the cohort · of 4,299,418page 3 of 4

Labels cover 0 of 174 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 174 of 174 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
Who are the high hospital users? A Canadian case study
Noralou P. Roos, Charles Burchill, Keumhee C. Carrière
2003· article· en· Journal of Health Services Research & Policy· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
The two faces of generalism
Steven Lewis
2013· editorial· en· Journal of Health Services Research & Policy· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Of space and time, of health care and health
Leslíe L. Roos, Noralou P. Roos
2001· article· en· Journal of Health Services Research & Policy· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
affaboutunlabeled
Hospital readmissions and the day of the week
Aman Verma, Christian M. Rochefort, Guido Powell, David L. Buckeridge
2018· article· en· Journal of Health Services Research & Policy· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Using questionnaires in qualitative interviews
Ann Langley
2004· letter· en· Journal of Health Services Research & Policy· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
4
citations
affunlabeled
Compulsion: The Key to Us Health Care Reform
Cam Donaldson, Stirling Bryan
2012· article· en· Journal of Health Services Research & Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Audit of submissions: July 2003 to June 2004
Nick Black, Nicholas Mays, Christine Rivett-Carnac
2005· article· en· Journal of Health Services Research & Policy· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Audit of submissions: July 2007 to June 2008
Nick Black, Nicholas Mays, Christine Rivett-Carnac
2008· editorial· en· Journal of Health Services Research & Policy· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations

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