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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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World health & population
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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
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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.

330 results · 1 filter active ·
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20032019
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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.
330 works in the cohort · of 4,299,418page 6 of 7

Labels cover 0 of 330 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 330 of 330 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.

venueaboutno affunlabeled
Inaugural Session: Summary
2013· article· en· World health & population· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
From the Editor-in-Chief
John R. Paul
2014· article· en· World health & population· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
From the Editors
2013· article· en· World health & population· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Foreword
Uton Rafei
2013· article· ceb· World health & population· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Technology for Public Health Development
Nirmal Kumar Ganguly
2013· article· en· World health & population· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
From the Editor-in-Chief
John R. Paul
2009· article· en· World health & population· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Introduction
Leslie Mancuso
2015· article· en· World health & population· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueaboutno affunlabeled
Opening Address at the Inauguration
Uton Rafei
2013· article· en· World health & population· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Address at the Inaugural Session
Shvetank Agarwal
2013· article· en· World health & population· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueaboutno affunlabeled
Editorial: Whither WHO?
Sagar Jain
2013· editorial· en· World health & population· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Inequity in Pediatric Care in Argentina
Aron Schwarcz, Pedro de Sarasqueta
2013· article· en· World health & population· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
From the Editors
2017· article· en· World health & population· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Delivering on Equity Depends on Us
Marilyn A. DeLuca
2015· article· en· World health & population· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
From the Editor-in-Chief
John R. Paul
2010· article· en· World health & population· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
From the Editor-In-Chief
Judith Shamian
2016· article· en· World health & population· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About