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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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Healthcare during COVID-19 Pandemic
Retraction
Abstract
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Study design
Label agreement
Label status

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
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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.

173 results · 1 filter active ·
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20032025
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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.
173 works in the cohort · of 4,299,418page 3 of 4

Labels cover 2 of 173 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 173 of 173 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
REPERCUSSÕES DA HIDROTERAPIA E DA BANDAGEM ELÁSTICA FUNCIONAL NA QUALIDADE DE VIDA E FUNCIONALIDADE DE INDIVÍDUOS COM QUADRO CLÍNICO DE LOMBALGIA
J. F. A. Trindade, Marcelo Alves Barboza, Glaucia Costa Machado, M. S. F. Juliano, Ana Paula Nassif Tondato da Trindade, Fabrício Borges de Oliveira
2019· article· pt· Anais do Congresso Brasileiro da Associação Brasileira de Fisioterapia Traumato-Ortopédica - ABRAFITO· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Epidemiological and quality of life analysis of patients with ANOCA
Ana Carolina Mello Fontoura de Souza, Mário Augusto Cray da Costa, Elise Souza dos Santos Reis, Luiz Henrique Vargas de Andrade, Tiago de Souza
2022· article· en· Research Society and Development· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Concepts and Barriers of Female Leadership
Michele Marta Moraes Castro, Cristiano Maciel, Indira R. Guzman
2025· article· Revista Educação Pública· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A IMPORTÂNCIA DO TRATAMENTO NA FASE PRÉ-DIABETE MELITO
Rafael Catani Dantas, LUCAS EDUARDO MACHADO, MATEUS LEMOS CARREIA, FERNANDO KENZO MATSUDA, RENATA DELLALIBERA JOVILIANO
2024· article· pt· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
PROMOÇÃO DE SAÚDE A IDOSOS COM DOENÇAS CRÔNICAS NÃO TRANSMISSÍVEIS
Antônia Janielly Negreiros de Moraes, SÁVIO DIEGO GOMES DA SILVA, Alysan Gomes de Vasconcelos, WENDEL DE ALCÂNTARA MENDES, Antonia Valdiana Silva Lima, Danilo Freire Pessoa +4 more
2024· book-chapter· pt· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
IMPACTOS DA COVID-19 NA SAÚDE DO IDOSO
João Ricardo Arraes Oliveira, G. H. S. SOARES, Filinto Barros, I. T. S. SANTOS, Luís Marques Loureiro, Marí­lia Perrelli Valença +1 more
2021· book-chapter· pt· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
LADA: UM DIAGNÓSTICO DIFERENCIAL IMPORTANTE
Laura Araujo Villarinho, Bruna Guimarães Feitosa, JULIANA DE SOUZA DE CASTRO, Luísa Karolina Nunes
2023· article· pt· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
chakravala/AbstractTensors.jl: v0.8.1
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Doenças coronarianas
Ricardo A. Costa, Alexandra Lansky, Mark Midei, David A. Cox, Charles O’Shaughnessy, Robert Applegate +61 more
2003· article· pt· Arquivos Brasileiros de Cardiologia· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About