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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 & Social Care in the Community
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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.

276 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.
276 works in the cohort · of 4,299,418page 3 of 6

Labels cover 0 of 276 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 276 of 276 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.

afffundunlabeled
Social Prescribing for Children and Youth: A Scoping Review
Caitlin Muhl, Eleanor Cornish, Xin Ang Zhou, Kate Mulligan, Imaan Bayoumi, Rachelle Ashcroft +2 more
2025· review· en· Health & Social Care in the Community· Arts and Humanities
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Differential impacts of <scp>COVID</scp> ‐19 and associated responses on the health, social well‐being and food security of users of supportive social and health programs during the <scp>COVID</scp> ‐19 pandemic: A qualitative study
Cília Mejía-Lancheros, Samira Alfayumi‐Zeadna, James Lachaud, Patricia O’Campo, Evie Gogosis, George Da Silva +3 more
2022· article· en· Health & Social Care in the Community· Psychology
machine prediction:candidate · noneconsensus · none
16
citations
afffundaboutunlabeled
Lay perceptions of neighbourhood health
Neena L. Chappell, Laura Funk
2004· article· en· Health & Social Care in the Community· Social Sciences
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About