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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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Global Health and Surgery
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,735 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.
1,735 works in the cohort · of 4,299,418page 27 of 35

Labels cover 19 of 1,735 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 1,735 of 1,735 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.

aboutno affunlabeled
Pathology in Southwest Uganda
Frederick A. Meier
2016· article· en· Critical Values· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Misunderstanding “Comrades in Health”
Anne‐Emanuelle Birn, Theodore M. Brown
2014· letter· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
A forgotten pandemic
Lauren Adolph
2015· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Downwardly Global
2017· book· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Essay: Dear Tenzin
Gilbert O. A. Lam
2015· article· en· Journal of Bioethical Inquiry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Preface
Dingie van Rensburg, Helen Schneider
2006· article· en· Acta Academica Critical views on society culture and politics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Education and Training in Global Neurosurgery
Nathan A. Shlobin, Yosef Ellenbogen, Mojgan Hodaie, Gail Rosseau
2024· review· en· Neurosurgery Clinics of North America· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
From Editor′s desk
Virendra Singh
2015· article· en· Lung India· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
IDEAL evaluation for global surgery innovation
Peter McCulloch, Janet Martin
2024· editorial· en· BMJ Surgery Interventions & Health Technologies· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Countries need to step up to end tuberculosis
Anita Svadzian, Madhukar Pai
2017· editorial· en· Journal of Clinical Tuberculosis and Other Mycobacterial Diseases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Correction
2008· article· en· Canadian Medical Association Journal· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Analysing research funding flows in the Global South
Matías Alcántara, Mariángela Nápoli, Judith Naidorf, Rodrigo Costas, Ismael Ràfols
2025· preprint· en· Medicine
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affaboutno abstractunlabeled
Global health is in crisis: How can Canada contribute?
Prativa Baral, Leah Shipton, Gatien De Broucker, Daniel Eisenkraft Klein
2025· article· en· PLOS Global Public Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About