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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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Breastfeeding Practices and Influences
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
fundfunder
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.

2,046 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,046 works in the cohort · of 4,299,418page 27 of 41

Labels cover 9 of 2,046 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 2,046 of 2,046 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.

venueno affno abstractunlabeled
10.1016/j.ynpm.2014.01.005
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affvenueunlabeled
Summaries of Communications
E. Kebreab, J. France, Judith A. Metcalf, R.R. White, L.E. Moraes
2018· article· en· Canadian Journal of Animal Science· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Breastfeeding at the Workplace in Kenya
Elizabeth Kamau, Henry Mburu Ng’Ethe, Daniel Sellen
2022· editorial· en· Journal of Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Abstracts 2017 der GNPI und DGPI
2017· article· de· Monatsschrift Kinderheilkunde· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Breastfeeding Atlas
Eileen Ahearn Shea
2004· article· en· Birth· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
WIC Supplement
Marla Reicks, Cecilia Richardson
2010· article· en· Journal of Nutrition Education and Behavior· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Mixed Methods Studies on Breastfeeding: A Scoping Review
Greyce Pollyne Santos Silva Minarini, Eliane de Fátima Almeida Lima, Karla Crozeta Figueiredo, Nayara Pereira, A Carmona, Mariana Bueno +1 more
2025· review· en· Healthcare· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Women's Breastfeeding Learning Experiences
Tanya Brann-Barrett
2004· article· en· Canadian Journal for the Study of Adult Education· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Stories of Breastfeeding Advocates
Leah Poirier
2015· book-chapter· en· Advances in higher education and professional development book series· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Reply to S Rückinger and R von Kries
Michael S. Kramer, Robert W. Platt
2008· article· en· American Journal of Clinical Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About