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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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Greenhouse Technology and Climate Control
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.

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.

436 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
436 works in the cohort · of 4,299,418page 4 of 9

Labels cover 1 of 436 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 436 of 436 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
Application of Thermal Batteries in Greenhouses
Seyed Soheil Mousavi Ajarostaghi, Leyla Amiri, Sébastien Poncet
2024· article· en· Applied Sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
Pest Early Detection in Greenhouse Using Machine Learning
Lê Quang Thảo, Duong Duc Cuong, Nguyen Tuan Anh, Nguyen Trieu Hoang Minh, Nguyen Duc Tam
2022· article· en· Revue d intelligence artificielle· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Growth Models for Lettuce Cultivars Growing in Spring
Fernanda Carini, Alberto Cargnelutti Filho, Cirineu Tolfo Bandeira, Ismael Mario Márcio Neu, Rafael Vieira Pezzini, M. Ramírez Pacheco +1 more
2019· article· en· Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About