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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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Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)
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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.

89 results · 1 filter active ·
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20012025
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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.
89 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 89 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 89 of 89 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
Indice
2016· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Tributo a la memoria de Mario Bunge. Presentación
2021· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Equipo Editorial
2014· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Psychology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Acerca del concepto de pobreza
2023· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
RER: lecciones aprendidas y futuro del proyecto
2024· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Acerca del concepto de pobreza
2023· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Open mic: La profesionalización de la carrera rapera*
Joo-Young Lee
2015· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
INSTRUMENTOS Y EXPERIENCIAS DE RECICLABILIDAD DE PLÁSTICOS
liliana amielli, Silvia Rossi, Florencia Breyter, Angela Pinto Rangel
2020· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Equipo Editorial
2016· article· es· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Electroweak precision constraints on the Lee-Wick Standard Model
Ezequiel Álvarez, Leandro Da Rold, Carlos Schat, Alejandro Szynkman
2008· preprint· en· Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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