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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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Plant and soil sciences
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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.

144 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.
144 works in the cohort · of 4,299,418page 3 of 3

Labels cover 0 of 144 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 144 of 144 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
ÁRBITROS DEL VOL. 2(1). 2014
Darwiniana
2014· article· es· Darwiniana, nueva serie· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
GUIA DE AUTORES
César Jara
2015· article· es· Revista de Investigación Científica REBIOL· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Recurso genético y propagación
Rommel Igor León Pacheco, Lumey Pérez Artíles, Gloria Patricia Castillo Urquiza, Carlos Alberto Abaunza González
2023· book· es· Corporación Colombiana de Investigación Agropecuaria (Agrosavia) eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Icdd pdf 2
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
The Future of Horticulture
Jim Mason
2023· article· en· International Journal of Horticulture· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Simple Health Remedies in Prison
2017· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Mango Export Plan to Canada
Valentina Lafaurie Restrepo
2020· dissertation· es· Lumieres - Repositorio institucional Universidad de América· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ficha de Adelpha cocala
André Victor Lucci Freitas, Ana Carolina Vieira Pires, Augusto Henrique Batista Rosa, Danilo Bandini Ribeiro, Eduardo de Proença Barbosa, Fernando Maia Silva Dias +3 more
2020· dataset· es· Datasets - Sistema SALVE - ICMBio· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Estructura poblacional de Tabebuia lepidophylla en el bosque de pinos sobre arenas cuarcíticas en Los Pretiles, Pinar del Río, Cuba /Population structure of Tabebuia lepidophylla in the pine forest on quartz sand of Los Pretiles, Pinar del Río, Cuba
Luis Granado Pérez, Reinier Núñez Bazán, Dayana Martínez Basulto, S Leon, Banessa Falcón Hidalgo, Vidal Pérez Hernández +1 more
2016· article· es· DOAJ (DOAJ: Directory of Open Access Journals)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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