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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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Primary Care and Health Outcomes
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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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venuejournal
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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.

4,685 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.
4,685 works in the cohort · of 4,299,418page 41 of 94

Labels cover 32 of 4,685 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 4,685 of 4,685 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
Is Canada Ready to Partner for Value-Based Healthcare?
Jason Vanderheyden, Gabriela Prada
2020· article· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Taking Responsibility for Closing the Holes
James L. Reinertsen
2001· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Cutting Through the Ice …
PG Forest
2019· article· en· Healthcare Quarterly· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Making primary care people-centred
Janusz Kaczorowski
2014· letter· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Improving Access to Primary Care
Nazia Darvesh, Sarah C. McGill
2022· article· en· Canadian Journal of Health Technologies· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Response
Mark Gelfer, Alan Bell, Robert J. Petrella, Norm R.C. Campbell, Lyne Cloutier, Patrice Lindsay +6 more
2021· letter· en· Canadian Family Physician· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
Why Build Health Leadership Capacity Across Canada
Hugh MacLeod, Gillian Kernaghan, Kelly Grimes
2016· article· en· Insights (Essays)· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About