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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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Health Research Policy and Systems
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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.

456 results · 1 filter active ·
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20032025
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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.
456 works in the cohort · of 4,299,418page 1 of 10

Labels cover 165 of 456 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 456 of 456 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.

afffundaboutunlabeled
A framework for value-creating learning health systems
Matthew Menear, Marc‐André Blanchette, Olivier Demers‐Payette, Denis Roy
2019· article· en· Health Research Policy and Systems· Health Professions
machine prediction:candidate · noneconsensus · none
359
citations
afffundaboutunlabeled
The role of NGOs in global health research for development
Hélène Delisle, Janet Hatcher Roberts, Michelle L. Munro‐Kramer, Lori Jones, Theresa W. Gyorkos
2005· article· en· Health Research Policy and Systems· Medicine
machine prediction:candidate · metaresearchconsensus · none
131
citations
affgemma · no categorygpt · no categorymodels agree
Editorial: can China master the guideline challenge?
Kehu Yang, Yaolong Chen, Youping Li, Holger J. Schünemann
2013· editorial· en· Health Research Policy and Systems· Medicine
machine prediction:candidate · metaresearchconsensus · none
126
citations
afffundgemma · metaresearchgpt · metaresearchmodels split
A global call for action to include gender in research impact assessment
Pavel V. Ovseiko, Trisha Greenhalgh, Paula Adam, Jonathan Grant, Saba Hinrichs, Kathryn E. Graham +39 more
2016· article· en· Health Research Policy and Systems· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
122
citations
afffundgemma · metaresearchgpt · metaresearchmodels split
Integrating and evaluating sex and gender in health research
Suzanne Day, Robín Masón, Stephanie Lagosky, Paula A. Rochon
2016· article· en· Health Research Policy and Systems· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
109
citations
fundno affgemma · no categorygpt · no categorymodels agree
Advancing the application of systems thinking in health
Taghreed Adam
2014· editorial· en· Health Research Policy and Systems· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
108
citations

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