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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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COVID-19 and Mental Health
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Abstract
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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
fundfunder
venuejournal
aboutaboutness

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

4,572 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,572 works in the cohort · of 4,299,418page 86 of 92

Labels cover 32 of 4,572 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 4,572 of 4,572 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.

venueno affno abstractunlabeled
Assessing online learning readiness and perceived stress among first year medical students during COVID-19 pandemic: a multi-country study Évaluation de la capacité d’apprentissage en ligne et du stress perçu chez les étudiants de première année de médecine pendant la pandémie de la COVID-19 : une étude multipays
Md Anwarul Azim Majumder, Damian Cohall, Nkemcho Ojeh, Marta Campbell, Oswald Adams, SA Bisong +3 more
2021· article· fr· Canadian Medical Education Journal· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Some lessons from the COVID‐19 pandemic
Albert I. Wertheimer
2020· editorial· en· Journal of Pharmaceutical Health Services Research· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Editorial - Post-COVID: Together, we will do better
T. Minh, Barry Pless
2020· editorial· en· Health Promotion and Chronic Disease Prevention in Canada· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Mental health risks and the coronavirus
Polly Moffat
2020· article· en· Journal of Health Visiting· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Editorial
Martha Cleveland‐Innes, Sawsen Lakhal
2020· editorial· fr· Canadian Journal of Learning and Technology· Psychology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About