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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 52 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.

affunlabeled
Integrating behavioral health
Tom Bartol
2014· article· en· The Nurse Practitioner· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Invited Commentary: ACCESS Open Minds National Youth Council
Jimmy Tan, Bernadette Bernard, Justin J. Chung, Mohamed‐Adlane Debbouz, Victoria Fehr, Alyssa Frampton +7 more
2019· article· en· Early Intervention in Psychiatry· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
afffundaboutunlabeled
Implantation de l’Accompagnement-citoyen personnalisé d’intégration communautaire (APIC) : vers l’optimisation de la mise en œuvre de cette approche novatrice visant la participation sociale des aînés
Janie Gobeil, Véronique Gaumond, S. Germain, Audrey Vézina, Anne-Marie Duguay, Mélanie Levasseur
2023· article· fr· Canadian Journal on Aging / La Revue canadienne du vieillissement· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Impact of a team-based versus individual clinician-focused training approach on primary healthcare professionals’ intention to have serious illness conversations with patients: a theory informed process evaluation of a cluster randomized trial
Lucas Gomes Souza, Patrick Archambault, Dalil Asmaou Bouba, Suélène Georgina Dofara, Sabrina Guay-Bélanger, Sergio Cortez Ghio +6 more
2024· preprint· en· medRxiv· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Démarche réflexive d’analyse en partenariat sur l’élaboration de stratégies pour améliorer l’offre de services en santé mentale des personnes ayant subi un traumatisme craniocérébral modéré ou grave
Élaine de Guise, Frédéric Banville, Monique Desjardins, Marie‐Christine Ouellet, Yvonne Richard, Stéphane Gagnier +4 more
2016· article· fr· Canadian Journal of Community Mental Health· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Leveraging Implementation Science at the Early-Stage Development of a Novel Telehealth-Delivered Fear of Exercise Program to Understand Intervention Feasibility and Implementation Potential: Feasibility Behavioral Intervention Study
Andrea T. Duran, Robin Cumella, Miguel Mendieta, Adrianna Keener-DeNoia, David López Veneros, Samantha G. Farris +2 more
2024· article· en· JMIR Formative Research· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About