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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
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.

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 13 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.

affunlabeled
Drone Technology in Agriculture : An Overview
Nitish Kumar, Avdhesh Kumar, Amit Kumar Keshari
2025· article· en· Journal of Community Mobilization and Sustainable Development· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Zero-Shot-Learning for Plant Species Classification
Soukaina El Maachi, Abdellah Chehri, Rachid Saadane
2024· article· en· Procedia Computer Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
TF1. Izieu.
2019· other· fr· OpenEdition (OpenEdition)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
GNN Approach for Maize Yield Prediction
Stefan Hačko, Đorđe Milanović, M. Brkic, Sanja Brdar
2024· article· en· Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Town of Bedford annual town and school reports 2005.
2006· article· en· University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About