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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.

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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 6 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.

affunlabeled
Natural disasters and healthcare
Louis Hugo Francescutti, Michel Sauve, Abhaya S. Prasad
2016· article· en· Healthcare Management Forum· Health Professions
machine prediction:candidate · noneconsensus · none
24
citations
affaboutunlabeled
Toronto Emergency Medical Services and SARS
Alexis C. Silverman, Andrew E. Simor, Mona Loutfy
2004· letter· en· Emerging infectious diseases· Health Professions
machine prediction:candidate · noneconsensus · none
24
citations
affno abstractunlabeled
The World Health Assembly resolution on integrated emergency, critical, and operative care for universal health coverage and protection from health emergencies: a golden opportunity to attenuate the global burden of acute and critical illness
Christian Owoo, Neill K. J. Adhikari, Olurotimi Akinola, Diptesh Aryal, Luciano César Pontes Azevedo, Tigist Bacha +32 more
2023· editorial· en· Intensive Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Guidelines for using animal models in blast injury research
Sarah Watts, Emrys Kirkman, Dan Bieler, Stephen Bjarnason, Axel Franke, Rishi Gupta +9 more
2018· article· en· Journal of the Royal Army Medical Corps· Health Professions
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Diagnostic Imaging in Disasters: A Bibliometric Analysis
Bo Gong, Mohammed F. Mohammed, Savvas Nicolaou, Muazzam Nasrullah, Bruce B. Forster, Faisal Khosa
2017· review· en· Disaster Medicine and Public Health Preparedness· Health Professions
machine prediction:candidate · bibliometricsconsensus · none
20
citations
affunlabeled
Nursing Students’ Perceived Disaster Preparedness and Response
Joy Kabasindi Kamanyire, Ronald Wesonga, Susan Achora, Anju Malik, Sultan Al‐Shaqsi, Jamila AS Alhabsi
2021· article· en· Sultan Qaboos University medical journal· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
Special Populations
Timothy Dempsey, Stephanie C. Lapinsky, Eric Melnychuk, Stephen E. Lapinsky, Mary Jane Reed, Alexander S. Niven
2019· review· en· Critical Care Clinics· Health Professions
machine prediction:candidate · noneconsensus · none
19
citations
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How this was built: Screen · Findings · About