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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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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.

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.

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 2 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
TOP 50 – Las 50 plantas más amenazadas de Cuba
Luis Roberto González-Torres, Alejandro Palmarola
2017· article· es· Anales de la Academia de Ciencias de Cuba· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Final_pythium5-2015.tab
2021· dataset· en· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Substantial gains and little downside from farming of Totoaba macdonaldi
Julia M. Lawson, Andrew Steinkruger, Miguel Castellanos-Rico, Garrett M. Goto, Miguel Ángel Cisneros‐Mata, Eréndira Aceves‐Bueno +3 more
2025· article· en· npj Ocean Sustainability· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
JABONES ARTESANALES A BASE DE ACEITE VEGETAL USADO
Anghelly Victoria Perez Medina, Mariana Lucia Gandur Rivas, Claudia Marcela Martínez Suarez
2022· article· es· Revista Productos Naturales· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ingeniería Industrial
2003· other· es· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Introducción
José Angel García‐Beltrán, Eldis R. Bécquer, José Luis Gómez-Hechavarría, Luis Roberto González-Torres
2024· book-chapter· es· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
PATRIMONIO DE LA HUMANIDAD, EL GENOMA HUMANO
Antonio Vel Zquez Arellano, Herrera V Zquez Pía
2000· article· es· Gaceta UNAM (2000-2009)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
T34 Biocontrol®, fungicida biológico de amplio espectro
Pedro Sánchez, Eva Casanova Rodríguez, M.I. Trillas
2019· article· es· Phytoma España: La revista profesional de sanidad vegetal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CUATRO CIÉNEGAS, SITIO RICO EN LIBÉLULAS
Laura Romero
2014· article· es· Gaceta UNAM (2010-2015)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About