MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Journal of Agricultural Science
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

3,622 results · 1 filter active ·
Results by year
20092025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,622 works in the cohort · of 4,299,418page 57 of 73

Labels cover 2 of 3,622 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 3,622 of 3,622 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
New Vigor Methodology in Pearl Millet Seeds
ANNA S. SUÑÉ, Danillo B. Rodrigues, Ana Sofia Almeida, C. A. Nunes, Luis Henrique Konzen, Éwerton Gewehr +4 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Postharvest Quality of Yellow Pear Tomato Cultivated in Aquaponic System
João Pedro R. da Silva, Vanderléia Schoeninger, Fabrício Correia de Oliveira, Rodrigo Aparecido Jordan, Valdiney Cambuy Siqueira, Elton Aparecido Siqueira Martins +4 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Essential Oils in the Control of Fusarium solani
Rafaella Azevedo Aguiar, Sinara Patrícia Mendes da Costa, Isabela Oliveira Santos, Maria Josiane Martins, Marcílio Nunes Moreira, Isabelle Carolyne Cardoso Batista +25 more
2023· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Water Quality of Underground Wells in Limoeiro do Norte, Brazilian Northeast
Luma Lorena L. S. Rodrigues, Eulene F. Silva, Milene de Lima Farias, Antônio M. Pinheiro, Renner Bento de Lima, Francimar M. S. Morais +5 more
2019· article· en· Journal of Agricultural Science· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Accelerated Aging Test to Determine the Vigor of Mungbean Seeds
Luciana Maria da Silva, Anderson Dias Vaz de Souza, Rogério Lamim Silva, Natália Arruda, Nei Peixoto, Katiane Santiago Silva Benett
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Classifying Soybean Cultivars Using an Univariate and Multivariate Approach
João Paulo Santos Carvalho, Adriano Teodoro Bruzi, Karina Barroso Silva, Igor Oliveri Soares, Mariane Cristina Bianchi, Nelson Júnior Dias Vilela
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Postharvest Quality of Cut Roses With the Application of Salicylic Acid
Sérgio Miguel Mazaro, Édson Bertoldo, Nean Locatelli Dalacosta, Fabiana Chiamulera Borsatti, Mycheli Preuss da Cruz, Américo Wagner Júnior +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Regional Weather Variations and Yields Achieved in Soybean Crops
Marcos V. M. Machado, Márcio F. Maggi, Antonio M. M. Hachisuca, Erivelto Mercante, Franciléia O. Silva
2023· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Modeling the Growth of Sudangrass Cultivars at Sowing Times
Rafael Vieira Pezzini, Alberto Cargnelutti Filho, Fernanda Carini, Cirineu Tolfo Bandeira, Jéssica Andiara Kleinpaul, Daniela Lixinski Silveira
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Plant Growth and Antioxidative Enzymes in Sunflower Supplemented With Selenium
Gabriela de Sousa Ferreira, Paulo Ovídio Batista de Brito, Tiago de Abreu Lima, Francisco Ícaro Carvalho Aderaldo, Gabrielli Teles De Carvalho, Elias do Nascimento de Sousa Filho +1 more
2022· article· en· Journal of Agricultural Science· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Modeling the Recommendation of Nutrients for Cabbage (Brassica oleracea) Crop
Thaísa Fernanda Oliveira, Leonardo Ângelo de Aquino, Maria Elisa Soares, Talita Gabriela Gentil, Flávio Lemes Fernandes, Júnia Maria Clemente +1 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Bayesian Perspective in the Selection of Bean Genotypes
Tâmara Rebecca Albuquerque de Oliveira, Moysés Nascimento, Paulo Renato Z. Santos, Kleyton Danilo S. Costa, Thalyson Vasconcelos Lima, Gabriela Karoline Michelon +4 more
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About