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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 8 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
Experiences of rural and remote nurses assisting with disasters
Judith C. Kulig, Kelly Penz, Chandima Karunanayake, Martha MacLeod, Sharleen Jahner, Mary E. Andrews
2017· article· en· Australasian Emergency Nursing Journal· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Caring for Critically Ill Patients in Humanitarian Settings
James Lee, Simon W. P. Roberts, Kanya Götsch, Ulrike Moeller, Laura Hawryluck
2018· article· en· American Journal of Respiratory and Critical Care Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
16
citations
affaboutunlabeled
Precepting at the time of a natural disaster
Douglas Myhre, Sameer Bajaj, Lana Fehr, Mike Kapusta, Kristine Woodley, Alim Nagji
2016· article· en· The Clinical Teacher· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Wildfire disasters: Implications for rural nurses
Judith C. Kulig, Dana Edge, Stephanie Smolenski
2014· article· en· Australasian Emergency Nursing Journal· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
venueno affunlabeled
10.51847/xF6D2ZT
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
15
citations
affunlabeled
Global Emergency Medicine: A Review of the Literature From 2015
Torben K. Becker, Bhakti Hansoti, Susan A. Bartels, Mark Bisanzo, Gabrielle A. Jacquet, Kevin Lunney +5 more
2016· review· en· Academic Emergency Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Pandemic Management in a Pediatric Hospital
Savithiri Ratnapalan, Maria Athina Martimianakis, Justine Cohen-Silver, Bruce Minnes, Daune MacGregor, Upton Allen +6 more
2013· article· en· Clinical Pediatrics· Health Professions
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Canadian survey on pandemic flu preparations
Paul Ritvo, Kumanan Wilson, JL Gibson, Crissa L. Guglietti, C. Shawn Tracy, JX Nie +1 more
2010· article· en· BMC Public Health· Health Professions
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Ebola and provision of critical care
Srinivas Murthy
2015· letter· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
14
citations
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

How this was built: Screen · Findings · About