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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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Smart Agriculture and AI
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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.

affaffiliation
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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.

930 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.
930 works in the cohort · of 4,299,418page 16 of 19

Labels cover 1 of 930 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 930 of 930 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.

aboutno affunlabeled
Cartoon: Soil deep learning
Anne C Richer-De-Forges, Dominique Arrouays
2019· preprint· en· Prodinra (INRA Bordeaux-Aquitaine)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
map_node_section.xml
Michelle Cullen, David Topps
2019· dataset· en· Harvard Dataverse· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Astur Apple image Dataset
Agustín Menéndez-Díaz, Silverio García‐Cortés, José Alberto Oliveira Prendes, A. Bello-García
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Smart Diary Forms: Artificial Intelligence for Efficient Diary Farming
Delshi Howsalya Devi Ramamoorthy, Divakara Baburayanakoppal Chandrashekhar, Tilak Kumar Lakshmanaswamy, Shilpa K Gowda, Sundresan Perumal
2025· article· Mathematical Modelling and Engineering Problems· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Automatic Domestic Stove Using Olive Cake Fuel
Jamil Al Asfar, Laith G. Mazahreh
2018· article· en· International Journal of Thermal and Environmental Engineering· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Tomato picking robot based on deep learning
Hongyuan Zhu, Zhenyu Wang
2023· article· en· Journal of Artificial Intelligence Practice· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
DEEP LEARNING FOR APPLE AND PEAR RECOGNITION
Vitālijs Žukovs, Ilmārs Apeināns, Sergejs Kodors
2021· article· en· HUMAN ENVIRONMENT TECHNOLOGIES Proceedings of the Students International Scientific and Practical Conference· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Smart Garden and Data Analytics for Monitoring Plant Heath
Sonia Maria D’Souza, Jiya Mary Jerin, Barkha Anjum Shaik, Sanjeev Prakashrao Kaulgud, P M Ramyashree
2025· article· en· SSRN Electronic Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Astur Apple image Dataset
Agustín Menéndez-Díaz, Silverio García‐Cortés, José Alberto Oliveira Prendes, A. Bello-García
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About