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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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Journal of Agricultural Science
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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.

3,622 results · 1 filter active ·
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20092025
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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.
3,622 works in the cohort · of 4,299,418page 54 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
Soil Water Retention in the Semiarid Region of Brazil
A.C. Silva, Jeane Cruz Portela, Rafael Oliveira Batista, Rutilene Rodrigues da Cunha, Joaquim Emanuel Fernandes Gondim, Luiz Eduardo Vieira de Arruda +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Pedon Characterization in the Caatinga Biome Area in Chapada Apodi, RN, Brazil
Francisca Elisângela Maniçoba, Francisco Gonçalo Filho, Lunara Gleika da Silva Rêgo, Carolina Malala Martins Souza, Ana Carla Rodrigues da Silva, Rebeca Nairony da Silva Lima +2 more
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Initial Growth of Yellow Passion Fruit Under Organic Fertilization
Francisco Hélio Alves de Andrade, Anailson de Sousa Alves, Maria Isabela Batista Clemente, Luana Ribeiro de Andrade, Daivyd Silva de Oliveira, Walter Esfrain Pereira +1 more
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Three New Maize Hybrids for Afghanistan
Rajiv Sharma, Qudratullah Soofizada, M. H. Azmatyar, Elias Mohmand
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Specific Kieselguhr Increased Hop Yield Over Several Years
Hiroo Matsui, J. Ježek, J. Pokorný, Pavel Donner, Minoru Horiuchi, Satoru Kamigasa +2 more
2018· article· en· Journal of Agricultural Science· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Harvest Seasons and Physiological Quality of Buffel Grass cv. Aridus Seeds
Josiane Cantuária Figueiredo, Andréia Márcia Santos de Souza David, Dorismar David Alves, Hugo Tiago Ribeiro Amaro, Eduardo Fontes Araújo, Cleisson Dener da Silva +1 more
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Nitrogen Sources and Doses in Arugula Development
Helena Souza Nascimento Santos, Maickon W. P. Meira, Fábio C. Ribeiro, Liliane Severino da Silva, José Augusto dos Santos Neto, Michele Xavier Vieira Megda +7 more
2022· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations

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