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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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Tuberculosis Research and Epidemiology
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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.

3,760 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.
3,760 works in the cohort · of 4,299,418page 27 of 76

Labels cover 16 of 3,760 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 3,760 of 3,760 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
Numbers of tuberculosis cases: dreams and reality
Arnaud Trébucq, V Schwoebel
2016· review· en· The International Journal of Tuberculosis and Lung Disease· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Tuberculosis: the story after the Primer
Madhukar Pai
2020· review· en· Nature Reviews Disease Primers· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affaboutno abstractunlabeled
Chapter 1: Epidemiology of tuberculosis in Canada
Aboubakar Mounchili, Reshel Perera, Robyn S. Lee, Howard Njoo, James Brooks
2022· article· en· Canadian Journal of Respiratory Critical Care and Sleep Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Congenital Tuberculosis
Desi Newberry, Tracey Robertson Bell
2018· review· en· Advances in Neonatal Care· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
fundaboutno affunlabeled
Costs of Tuberculosis at 3 Treatment Centers, Canada, 2010–2016
Jonathon R. Campbell, Placide Nsengiyumva, Leslie Chiang, Frances Jamieson, Hadeel Khadawardi, Henry K.-H. Mah +10 more
2022· article· en· Emerging infectious diseases· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Clinical standards for drug-susceptible TB in children and adolescents
S S Chiang, Stephen M. Graham, H. Simon Schaaf, Ben J. Marais, Clemax Couto Sant’Anna, Sangeeta Sharma +44 more
2023· article· en· The International Journal of Tuberculosis and Lung Disease· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Chapter 4: Diagnosis of tuberculosis infection
Jonathon R. Campbell, Christopher Pease, Peter Daley, Madhukar Pai, Dick Menzies
2022· article· en· Canadian Journal of Respiratory Critical Care and Sleep Medicine· Medicine
machine prediction:candidate · noneconsensus · none
20
citations

How this was built: Screen · Findings · About