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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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Anais do XXXII Simpósio Brasileiro de Informática na Educação (SBIE 2021)

Topic

Retraction

Abstract

Evidence source

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.

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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 results · 1 filter active ·

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20212021

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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 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 2 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 of 2 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

fundno affunlabeled

Um Sistema de Recomendação de Estratégias de Aprendizagem Baseado no Perfil de Motivação do Aluno: SisREA

Geovana de Souza Amaral, David Brito Ramos, Ilmara Monteverde Martins Ramos, Elaine Oliveira

2021· article· pt· Anais do XXXII Simpósio Brasileiro de Informática na Educação (SBIE 2021)· Social Sciences

distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+research_integrity+insufficient_payloadconsensus · metaepi_narrow+insufficient_payload

citations

fundno affunlabeled

Introductory Computer Science Course by Adopting Many Programming Languages

Francisco de Assis Zampirolli, Fernando Teubl, Guiou Kobayashi, Rogério Neves, Luiz C. S. Rozante, Valério Ramos Batista

2021· article· en· Anais do XXXII Simpósio Brasileiro de Informática na Educação (SBIE 2021)· Computer Science

distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none

citations

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