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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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Disaster Response and Management
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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.

1,873 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.
1,873 works in the cohort · of 4,299,418page 9 of 38

Labels cover 10 of 1,873 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 1,873 of 1,873 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.

affno abstractunlabeled
Ethical Dilemmas Associated With the COVID-19 Pandemic
Jason J. Han, Jessica G.Y. Luc, Esther S. Pak
2020· article· en· Journal of the American College of Cardiology· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
September 11, 2001: Ten Years Later
David GC McCann, Heidi P. Cordi
2011· article· en· World Medical & Health Policy· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Critical Care Capacity During the COVID-19 Pandemic
Kali Barrett, Cindy VandeVyvere, Nasim Haque, Meiyin Gao, Shujun Yan, Gerald Lebovic +14 more
2021· report· en· Health Professions
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Simulation Amid the COVID-19 Pandemic
Nicole Harder
2020· editorial· en· Clinical Simulation in Nursing· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
Ethical implications of diversity in disaster research
Matthew Hunt, James A. Anderson, Renaud Boulanger
2012· article· en· American Journal of Disaster Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · none
12
citations
aboutno affunlabeled
Reflections on nursing and COVID-19 in light of health education
Patrícia Neyva da Costa Pinheiro, Edna Johana Mondragón-Sánchez, Maria Isabelly Fernandes da Costa, Icleia Parente Rodrigues
2021· article· en· Revista Brasileira de Enfermagem· Health Professions
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About