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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 Policy Implementation Science
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,272 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.
4,272 works in the cohort · of 4,299,418page 4 of 86

Labels cover 308 of 4,272 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 4,272 of 4,272 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.

affaboutunlabeled
T-CaST: an implementation theory comparison and selection tool
Sarah A. Birken, Catherine L. Rohweder, Byron J. Powell, Christopher M. Shea, Jennifer E. Scott, Jennifer Leeman +7 more
2018· article· en· Implementation Science· Health Professions
machine prediction:candidate · noneconsensus · none
220
citations
afffundunlabeled
Sustaining organizational culture change in health systems
Cameron D. Willis, Jessie E. Saul, Helen Bevan, Mary Ann Scheirer, Allan Best, Trisha Greenhalgh +4 more
2016· review· en· Journal of Health Organization and Management· Health Professions
machine prediction:candidate · noneconsensus · none
187
citations
affunlabeled
Changing physician behavior: what works?
Fargoi Mostofian, Cynthiya Ruban, Nicole Simunovic, Mohit Bhandari
2015· review· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
171
citations
affunlabeled
Chronic Illness Experience: Insights from a Metastudy
Sally Thorne, Barbara Paterson, Sonia Acorn, Connie Canam, Gloria Joachim, Carol Jillings
2002· article· en· Qualitative Health Research· Health Professions
machine prediction:candidate · metaepi_broadconsensus · none
170
citations
affaboutunlabeled
Integrating Social Theory Into Public Health Practice
Louise Potvin, Sylvie Gendron, Angèle Bilodeau, Patrick Chabot
2005· article· en· American Journal of Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
169
citations

How this was built: Screen · Findings · About