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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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International Journal of Environmental Research and Public Health
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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.

3,148 results · 1 filter active ·
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20072025
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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.
3,148 works in the cohort · of 4,299,418page 28 of 63

Labels cover 9 of 3,148 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 3,148 of 3,148 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
Determinants of Health Facility Utilization at Birth in South Sudan
Justin Bruno Tongun, David Mukunya, Thorkild Tylleskär, M B Sebit, James Tumwine, Grace Ndeezi
2019· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Tobacco Use among Emergency Department Patients
Patricia M. Smith
2011· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
fundno affunlabeled
Scaling up of Eco-Bio-Social Strategy to Control Aedes aegypti in Highly Vulnerable Areas in Fortaleza, Brazil: A Cluster, Non-Randomized Controlled Trial Protocol
Suyanne Freire de Macêdo, Kellyanne Abreu Silva, Renata Borges de Vasconcelos, Izautina Vasconcelos de Sousa, Lyvia Patrícia Soares Mesquita, Roberta Duarte Maia Barakat +7 more
2021· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Translation, Cross-Cultural Adaptation and Psychometric Validation of the Greek Version of the Cardiac Rehabilitation Barriers Scale (CRBS-GR): What Are the Barriers in South-East Europe?
Varsamo Antoniou, Konstantinos Pasias, Nektarios Loukidis, Kalliopi K. Exarchou-Kouveli, Demosthenes B. Panagiotakos, Sherry L. Grace +1 more
2023· article· en· International Journal of Environmental Research and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
19
citations

How this was built: Screen · Findings · About