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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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Health and Conflict Studies
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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.

1,013 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.
1,013 works in the cohort · of 4,299,418page 17 of 21

Labels cover 2 of 1,013 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 1,013 of 1,013 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
Ethnic Conflict and Public Health
Duncan Pedersen, Hanna Kienzler
2017· book-chapter· en· Elsevier eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Robin Oakley (Draft Profile)
Robin Oakley
2013· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Global Health Responsibilities
Christopher A. Lowry, Udo Schüklenk
2009· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canadian population 'explosion'
MarcusRoberts
2018· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dedication
Anne‐Emanuelle Birn, Yogan Pillay, Timothy H. Holtz
2009· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mortality
Bali Ram, Shefali S. Ram
2014· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
MHP
2015· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
CASE STUDY u
2016· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.51847/e7AoOTeg1j
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
How are your peace skills, doctor?
Joanna Santa Barbara
2004· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Annals of Hepatology: Viewpoints from Afar
Eric M. Yoshida, Xingshun Qi
2017· article· en· Annals of Hepatology· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Military Nurse
Laurence Dopson
2012· article· en· Nursing Standard· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Norwegian Mobile Army Surgical Hospital
Jan‐Thore Lockertsen, Åshild Fause, Christine E. Hallett, Jane Brooks
2015· book-chapter· en· Manchester University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A case series on trauma care in Gaza: reflections
Naomi Katz, Ron Wald, Gareth Kantor, Fiona Sim, Philip Greenland
2025· letter· en· The Lancet· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About