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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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Agriculture Sustainability and Environmental Impact
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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.

1,518 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.
1,518 works in the cohort · of 4,299,418page 25 of 31

Labels cover 1 of 1,518 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 1,518 of 1,518 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.

fundno affunlabeled
Climate/Environment, Health, Agriculture, and Improved Nutrition
Nicole Tichenor Blackstone, Miriam E. Nelson, Margaret McCabe, Naglaa El-Abbadi, Timothy S. Griffin, Andrew D. Jones +10 more
2018· article· en· Current Developments in Nutrition· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cultivating Meat from Cells
Élisabeth Abergel
2024· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.3917/dm.103.0229
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
No More Cattle?
M. Martel
2023· article· en· Canadian Journal for the Academic Mind· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Agrisemantics: The Current State of Adoption
Christopher J. O. Baker, Brett Drury, Karyna Botvina
2025· article· en· Journal of Agricultural & Food Information· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Land
Navin Ramankutty, Hannah Wittman
2020· book-chapter· en· Open Book Publishers· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
When Low-Carbon means Low-Cost
Stephen J. Salter
2013· book-chapter· en· IGI Global eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Carbon Credit Systems in Alberta Agriculture
2022· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Indigenous Veganism
Margaret Robinson
2024· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About