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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
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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
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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 34 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.

affvenueaboutno abstractunlabeled
Tuberculosis in Immigrants to Canada
Robert Cowie, Stephen K. Field, Donald A. Enarson
2002· review· en· Canadian Journal of Public Health· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Latent tuberculosis infection prevalence in rural Madagascar
Gouri Sadananda, Astrid M. Knoblauch, Andry Andriamiadanarivo, Kimmerling Razafindrina, Ideal Ambinintsoa, Roger Mario Rabetombosoa +5 more
2020· article· en· Transactions of the Royal Society of Tropical Medicine and Hygiene· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
The 1/4/6x24 campaign to cure tuberculosis quickly
Lindsay McKenna, Mike Frick, K. Angami, Vuyiseka Dubula, Jennifer Furin, Mark Harrington +11 more
2023· letter· en· Nature Medicine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Tuberculosis Prevention
Jennifer Landry, Dick Menzies
2016· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affaboutunlabeled
Technology and tuberculosis control: the OUT-TB Web experience
Jennifer L. Guthrie, David C. Alexander, Alex Marchand‐Austin, Karen S.L. Lam, Michael Whelan, Brenda Lee +7 more
2016· article· en· Journal of the American Medical Informatics Association· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Advances in Tuberculosis Diagnostics
Marzieh Ghiasi, Tripti Pande, Madhukar Pai
2015· article· en· Current Tropical Medicine Reports· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Ending tuberculosis in India
Hannah Monica Dias, Madhukar Pai, Mario Raviǵlione
2018· editorial· en· The Indian Journal of Medical Research· Medicine
machine prediction:candidate · noneconsensus · none
13
citations

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