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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.

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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 23 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.

fundno affunlabeled
Screening ancient tuberculosis with qPCR: challenges and opportunities
Kelly M. Harkins, Jane E. Buikstra, Tessa J. Campbell, Kirsten I. Bos, Eric Johnson, Johannes Krause +1 more
2014· article· en· Philosophical Transactions of the Royal Society B Biological Sciences· Medicine
machine prediction:candidate · noneconsensus · none
27
citations
fundno affunlabeled
Prevalence, Predictors, and Successful Treatment Outcomes of Xpert MTB/RIF–identified Rifampicin-resistant Tuberculosis in Post-conflict Eastern Democratic Republic of the Congo, 2012–2017: A Retrospective Province-Wide Cohort Study
Andre Nyandwe Hamama Bulabula, Jenna Nelson, Eric Mulume Musafiri, Rhoderick Machekano, Nadia A. Sam‐Agudu, Andreas H. Diacon +14 more
2018· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Perspectives for systems biology in the management of tuberculosis
Irina Kontsevaya, Christoph Lange, Patricia Comella-del-Barrio, Cristian Coarfa, Andrew R. DiNardo, Stephen H. Gillespie +13 more
2021· review· en· European Respiratory Review· Medicine
machine prediction:candidate · noneconsensus · none
26
citations

How this was built: Screen · Findings · About