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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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Bulletin of the World Health Organization
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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.

189 results · 1 filter active ·
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20032025
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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.
189 works in the cohort · of 4,299,418page 1 of 4

Labels cover 1 of 189 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 189 of 189 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.

fundaboutno affunlabeled
Postpartum depression in India: a systematic review and meta-analysis
Ravi Prakash Upadhyay, Ranadip Chowdhury, Asiyeh Salehi, Kaushik Sarkar, Sunil Kumar Singh, Bireshwar Sinha +3 more
2017· review· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
351
citations
affunlabeled
Measuring maternal health: focus on maternal morbidity
Tabassum Firoz, Doris Chou, Peter von Dadelszen, Priya Agrawal, Rachel Vanderkruik, Özge Tunçalp +3 more
2013· article· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
294
citations
aboutno affunlabeled
WHO maternal death and near-miss classifications
Robert Pattinson, Lale Say, João Paulo Souza, Nynke van den Broek, C. Rooney
2009· editorial· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
224
citations
afffundunlabeled
Systematic reviews and knowledge translation
Peter Tugwell
2006· article· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
117
citations
affunlabeled
Screening: evidence and practice
Anthony B. Miller
2008· article· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
85
citations
affunlabeled
Maternal mortality in Senegal
Alexandre Dumont
2006· article· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Developing global guidance on human milk banking
Mirriam Tyebally Fang, Efstratios Chatzixiros, Laurence M. Grummer‐Strawn, Cyril Engmann, Kiersten Israel‐Ballard, Kimberly Mansen +5 more
2021· article· en· Bulletin of the World Health Organization· Medicine
machine prediction:candidate · noneconsensus · none
69
citations

How this was built: Screen · Findings · About