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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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Seed Germination and Physiology
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.

883 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.
883 works in the cohort · of 4,299,418page 13 of 18

Labels cover 1 of 883 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 883 of 883 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
Seeds of Caesalpinia echinata Lam. Under Water Stress at Different Temperatures
Caroline Marques Rodrigues, Edna Ursulino Alves, Rosemere dos Santos Silva, Flávio Ricardo da Silva Cruz, Maria Lúcia Maurício da Silva, Marina Matias Ursulino +2 more
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Germination of Pomegranate Seeds under Sarcotesta Extraction Methods and Drying
Deived Uilian de Carvalho, Maria Aparecida da Cruz, Elisete Aparecida Fernandes Osipi, Jethro Barros Osipe, Ronan Carlos Colombo, Jéssica de Lucena Marinho +2 more
2017· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
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
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
affunlabeled
Omics for Improving Seed Quality and Yield
Jake Cummane, William J. W. Thomas, Maria Lee, Mohammad Sayari, David Edwards, Jacqueline Batley +1 more
2025· article· en· Seeds· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Osmopriming in Seeds of Helianthus annuus L.
Igor dos R. Oliveira, Leandra Matos Barrozo, Alan Mário Zuffo, Laísa C. dos S. Lopes, Joel C. dos Santos, Tatiane S. da C. Zanatta +7 more
2022· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About