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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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Leaf Properties and Growth Measurement
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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.

325 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.
325 works in the cohort · of 4,299,418page 3 of 7

Labels cover 1 of 325 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 325 of 325 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A Bootstrap Method for Narmax Model Order Selection
Sunil L. Kukreja, Robert E. Kearney, Henrietta L. Galiana
2000· article· en· IFAC Proceedings Volumes· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Leaf Area Estimation of Garden Boldo From Linear Dimensions
Ana Maria Alves de Souza Ribeiro, Daniel Alves Mundim, Daisy Cristina Martins Mendonça, Karina Tiemi Hassuda dos Santos, Jéssica Sayuri Hassuda Santos, Vinícius de Souza Oliveira +6 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Estimation of Leaf Area of Jackfruit Through Non-destructive Method
Vinícius de Souza Oliveira, Leonardo Raasch Hell, Karina Tiemi Hassuda dos Santos, Hugo Rebonato Pelegrini, Jéssica Sayuri Hassuda Santos, Graziela Evencio de Oliveira +7 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Prediction Models of Corn Yield by NDVI in Function of the Spacing Arrangement
Maílson Freire de Oliveira, Antônio Tássio Santana Ormond, Rafael Henrique de Freitas Noronha, Adão Felipe dos Santos, Cristiano Zerbato, Carlos Eduardo Angeli Furlani
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Avaliação do índice de área foliar e índice de área da planta em floresta seca utilizando modelos simplificados em imagens de alta resolução com o uso de VANT
Cloves Vilas Boas dos Santos, M. S. B. de Moura, Herica Fernanda de Sousa Carvalho, Josiclêda Domiciano Galvíncio, Rodrigo de Queiroga Miranda, Adriana Aparecida Megumi Nishiwaki +1 more
2022· article· pt· Journal of Hyperspectral Remote Sensing· Agricultural and Biological Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
3
citations
affunlabeled
Signal Attenuation through Foliage Estimator (SAFE)
Mathieu Châteauvert, Jonathan Ethier, Pierre Bouchard
2023· article· en· Agricultural and Biological Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
venueno affunlabeled
Comparison of Different Methods for Assessing Chlorophyll Content in Citrus
Rivani Oliveira Ferreira, Marilza Neves do Nascimento, Luciano da Silva Souza, Felipe Gomes Frederico da Silveira, Roberto Toyohiro Shibata
2018· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
3D X-ray microscopy lights up nanoparticles in plants
E. Kristensen, Francesca Siracusa, Andrea Pinna, Idil Ertem, Augusta Szameitat, Julie Villanova +5 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Modeling Fruit Growth of ‘Triunfo’ Pear Grown in North Espírito Santo State
Vinicius Soares de Oliveira, Vinícius de Souza Oliveira, Karina Tiemi Hassuda dos Santos, Glêyce Pereira Santos, Lucas Moreira Borges, Adriel Lima Nascimento +7 more
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
2
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
distilled prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Estimation of Tobacco Leaf Area by a Non-destructive Method
Onássis Deivis Schlösser, Emilso Damm dos Santos, Tainan Vechietti, Rodrigo Ivaniski Della Flora, Felipe Tascheto Bolzan, Ivan Carlos Maldaner
2020· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Boreal forest foliar chemistry data
Marie Renaudin
2024· dataset· en· Figshare· Agricultural and Biological Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations

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