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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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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 7 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundaboutgemma · no categorygpt · no categorymodels split
Learning from intersectoral initiatives to respond to the needs of refugees, asylum seekers, and migrants without status in the context of COVID-19 in Quebec and Ontario: a qualitative multiple case study protocol
Lara Gautier, Erica Di Ruggiero, Carly Jackson, Naïma Bentayeb, Marie-Jeanne Blain, Fariha Chowdhury +9 more
2023· article· en· Health Research Policy and Systems· Psychology
distilled prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Where is students’ research in evidence-informed decision-making in health? Assessing productivity and use of postgraduate students’ research in low- and middle-income countries: a systematic review
Ekwaro Obuku, John N. Lavis, Alison Annet Kinengyere, Freddie Sengooba, Charles Karamagi, Nelson K. Sewankambo
2017· review· en· Health Research Policy and Systems· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+metaepi_broad+bibliometrics+sts+scholarly_communication+open_science+research_integrityconsensus · metaresearch
10
citations
afffundgemma · no categorygpt · no categorymodels split
Getting evidence to travel inside public systems: what organisational brokering capacities exist for evidence-based policy?
Pernelle Smits, Jean‐Louis Denis, Johanne Préval, Evert A. Lindquist, M. Javiera Aguirre
2018· letter· en· Health Research Policy and Systems· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · metaresearch+research_integrity
9
citations
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