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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.

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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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Infant Development and Preterm Care
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.

2,511 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.
2,511 works in the cohort · of 4,299,418page 36 of 51

Labels cover 11 of 2,511 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 2,511 of 2,511 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 affno abstractunlabeled
運動発達評価法Alberta Infant Motor Scaleの紹介
雅之 上杉, 哲 高田, 智明 嶋田
2005· article· ja· 理学療法学Supplement Vol.32 Suppl. No.2 (第40回日本理学療法学術大会 抄録集)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Instrumentos utilizados para avaliação do desenvolvimento de recém-nascidos pré-termo no Brasil: revisão da literatura / Assessment tools utilized for the evaluation of preterm neonates in Brazil: literature review
Solange Raydan Rocha, Lílian de Fátima Dornelas, Lívia de Castro Magalhães
2013· article· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0186-159x(09)56047-0
Ashwin Ramachandrappa, Lucky Jain
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Sazonalidade e fatores de risco associados ao desenvolvimento motor de lactentes nascidos a termo/ Seasonality and risk factors associated with motor development of full-term infants
Letícia Hermes, Fabiane Kurtz Martins, Natiele Camponogara Righi, Thaís Helena Oliveira Böck, Cláudia Morais Trevisan, Ângela Regina Maciel Weinmann +1 more
2021· article· pt· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Relevé postnatal Rourke 2014
Bruno Riverin, Patricia Li, Leslie Rourke, Denis Leduc, James Rourke
2015· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affgemma · no categorygpt · no categorymodels agree
NatureServe
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(09)70374-x
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
Les bons conseils de la naissance à la maternelle
Leslie Rourke, Denis Leduc, Evelyn Constantin, Sarah Carsley, James Rourke, Patricia Li
2013· article· fr· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.yped.2015.07.074
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-323-56711-4.00040-7
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0029-7437(06)71970-x
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/j.ynpm.2013.07.001
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Foundation Praemium Erasmianum
2022· book-chapter· en· The Grants Register 2023· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Commentary on “GMFM in Infancy
Amber Richards, Linda Fetters
2013· article· en· Pediatric Physical Therapy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2020· book-chapter· en· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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