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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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The International Journal of Tuberculosis and Lung Disease
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Retraction
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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.

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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.

154 results · 1 filter active ·
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20062025
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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.
154 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 154 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 154 of 154 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
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
afffundunlabeled
WHO target product profiles for TB preventive treatment
Saskia den Boon, Christian Lienhardt, Matteo Zignol, Kevin Schwartzman, Nimalan Arinaminpathy, Jonathon R. Campbell +9 more
2022· article· en· The International Journal of Tuberculosis and Lung Disease· Medicine
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Active case‐finding in contacts of people with TB
Greg J. Fox, James C. Johnston, Ta Nguyen, Suman Majumdar, Justin T. Denholm, H. Asldurf +3 more
2021· review· en· The International Journal of Tuberculosis and Lung Disease· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Market assessment of tuberculosis diagnostics in India in 2013
P Maheshwari, K Chauhan, R Kadam, A Pujani, Mrs. Rajwant Kaur kaur, M Chitalia +14 more
2016· article· en· The International Journal of Tuberculosis and Lung Disease· Medicine
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About