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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
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.

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.

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 43 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.

affaboutunlabeled
Tuberculosis in Children: New diagnostic Blood Tests
Fatima Kakkar, UD Allen, Daphne I. Ling, Madhukar Pai, IC Kitai
2010· article· en· Canadian Journal of Infectious Diseases and Medical Microbiology· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Tuberculosis in Rwanda: challenges to reaching the targets
Michel Gasana, Greet Vandebriel, G Kabanda, Jules Mugabo, Simon Tsiouris, Aliou Ayaba +4 more
2007· article· en· Europe PMC (PubMed Central)· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Effectiveness and cost-effectiveness of community-based TB screening algorithms using computer-aided detection (CAD) technology alone compared with CAD combined with point-of-care C reactive protein testing in Lesotho and South Africa: protocol for a paired screen-positive trial
Aita Signorell, Alastair van Heerden, Irene Ayakaka, Bart Karl Jacobs, Marina Antillón, Fabrizio Tediosi +22 more
2025· article· en· BMJ Open· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
High incidence of primary tuberculosis
Heather Milburn
2000· article· en· Archives of Disease in Childhood· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Chapter 9: Pediatric tuberculosis
Rachel Dwilow, Charles Hui, Fatima Kakkar, Ian Kitai
2022· article· en· Canadian Journal of Respiratory Critical Care and Sleep Medicine· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Tuberculosis and the city
Andrew P. Carter, Alice Zwerling, Sherry Olson, Terry-Nan Tannenbaum, Kevin Schwartzman
2009· article· en· Health & Place· Medicine
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About