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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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Soil Management and Crop Yield
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.

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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.

307 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.
307 works in the cohort · of 4,299,418page 3 of 7

Labels cover 1 of 307 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 307 of 307 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
Agronomic Components of Brown Linseed as a Function of Spacing
Dionei Schmidt Muraro, Claudir José Basso, Ivan Ricardo Carvalho, Vinícius Jardel Szareski, Luan Cutti, Adalin Cézar Moraes de Aguiar +3 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Physical Attributes of the Soil and Maize Productivity Under an Intercrop System
Paulo Ricardo Alves dos Santos, Carlos Alessandro Chioderoli, Alexsandro Oliveira da Silva, Francisca Edcarla de Araújo Nicolau, José Evanaldo Lima Lopes, Marcelo Queiroz Amorim +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Biofertilizer Microgeo® on Rice Crop: Yield and Seed Quality
Thiago Assunção de Almeida, Paulo Roberto Fidelis Giancotti, Bento Alvenir Dornelles de Lima, Douglas Dalla Nora, Ronimar Rosso Gomes
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Domestic Wastewater for Forage Cultivation in Cerrado Soil
J. G. D. Silva, José Maria Rodrigues da Luz, Jacqueline Henrique, Joaquim José de Carvalho, J. E. C. da Silva
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
EFEITO DO TRÁFEGO AGRÍCOLA NA INFILTRAÇÃO DE ÁGUA NO SOLO
Barbara Barreto Fernandes, Indiamara Marasca, Murilo Battistuzzi Martins, JEFFERSON SANDI, Kelly Gabriela Pereira da Silva, KLEBER PEREIRA LANÇAS
2022· article· pt· Irriga· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Edaphic Arthropods in Fragment of Riparian Forest in the Semi-Arid of Paraíba
César Henrique Alves Borges, Jacob Silva Souto, Ane Cristine Fortes da Silva, Lyanne dos Santos Alencar, Manoella de Queiroz Rodrigues Limeira, Adriano Castelo dos Santos +2 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Permeabilidade de Solo Laterítico por Diferentes Métodos
Tatiana Tavares Rodriguez, Luis Alexandre Weiss, Raquel Souza Teixeira, Carlos José Marques da Costa Branco
2015· article· pt· Semina Ciências Exatas e Tecnológicas· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Biomass, Protein Content and Cell Damage in Tanzania Grass Irrigated With Saline Water
Nildo da Silva Dias, Osvaldo Nogueira de Sousa Neto, Francisco Vaniés da Silva Sá, Débora Evangelista Façanha de Morais, Bruno Goulart de Azevedo Souza, Cleyton dos Santos Fernandes +4 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Mineralogy and Maximum Phosphorus Adsorption Capacity in Soybean Development
Reginaldo de Oliveira, Laércio Santos Silva, Naiara Fernanda de Souza, Marizane Pietroski, Gustavo Caione, Getúlio de Freitas Seben +4 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Soil Physical Attributes Under Eucalyptus stands With Non-living and Living Plants
Nayana Alves Pereira, João Carlos Medeiros, Julian Júnio de Jesus Lacerda, Jaqueline Dalla Rosa, Bruna Anair Souto Dias, Everaldo Moreira da Silva +2 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Management of Soil Mulch in Weed Suppression and Sugarcane Productivity
Danilo César Oliveira De Cerqueira, Vilma Marques Ferreira, Renan Cantalice de Souza, João Correia de Araújo Neto, Vinícius Santos Gomes da Silva, Freds Fernando Alves de Almeida
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Morphological Changes in Sugarcane as a Function of Metallurgic Slag and Gypsum
Paulo Ricardo Aprígio Clemente, Benigno F. A. de Almeida, Diogo H. de A. B., André L. J. Silva, Vinícius Santos Gomes da Silva, L. Endres
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About