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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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Sugarcane Cultivation and Processing
Retraction
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

262 results · 1 filter active ·
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20002025
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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.
262 works in the cohort · of 4,299,418page 4 of 6

Labels cover 0 of 262 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 262 of 262 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.

venueno affunlabeled
Biometric Indexes in the Early Selection of Potassium Use Efficient Sugarcane Genotypes
Juan-Camilo Rey-Sandoval, Evandro Marcos Biesdorf, Angélica Fátima de Barros, Márcio Henrique Pereira Barbosa, Luís Cláudio Inácio da Silveira, Leonardo Duarte Pimentel
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Agro-biochemical Traits of Sugarcane Varieties Grown in the Brazilian Semi Arid Region
Ygor Herinque Leal, Alexandre Tavares da Rocha, Alexandre Campelo de Oliveira, Djalma Euzébio Simões Neto, João Thiago Correia Oliveira, Nathália Bandeira Diniz +2 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
The Agribusiness of Sugarcane and Its Expansion in the State of Goiás
Mateus R. Resende Oliveira, Antônio Pasqualetto, Jeferson de Castro Vieira, Sergio D. de Castro
2022· article· en· International Journal of Business Administration· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Sugarcane Burning: Why?
Sudarin Rodmanee, Aeumporn Loypradit, Chiraphorn Parnporm
2024· article· en· International Business Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Taux de sucre
Michael Delisle
2013· article· fr· XYZ. La revue de la nouvelle· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(93)95957-8
2000· article· en· Time to knit· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Ottawa, Ohio
2009· other· en· OhioLink ETD Center (Ohio Library and Information Network)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Sugarcane Varieties for Animal Feeding in the Pre-Amazon Region of Brazil
André da Silva Alves, Fancirose Shigaki, Taise Facundes Silva, Elane Tyara de Jesus Siqueira, Ludhana Marinho Veras, Gabriella da Rocha Costa +2 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
17 Sugars and sugar confectionery: Canada
2021· article· en· International Trade by Commodity Statistics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Book review: Libyan Sugar
Nathaniel Brunt
2017· article· en· Media War & Conflict· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Adding Value to Alberta's Oil Sands
C.J. Laureshen, P.D. Clark, M. P. du Plessis
2005· article· en· Canadian International Petroleum Conference· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About