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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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Organic Food and Agriculture
Retraction
Abstract
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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.

1,289 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.
1,289 works in the cohort · of 4,299,418page 20 of 26

Labels cover 1 of 1,289 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 1,289 of 1,289 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
Angela Lee: The Stakes in Steak
2020· article· en· eYLS (Yale Law School)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Country report:organic food and farming i China
Paul Rye Kledal, Qiao Yu Hui, Henrik Egelyng, Xi YunGuan, Niels Halberg, Li Xianjun
2007· article· en· Research at the University of Copenhagen (University of Copenhagen)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Facilitating conversion to organic production
2007· dissertation· en· The Atrium (University of Guelph)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Campus Community Market
2022· report· en· The Atrium (University of Guelph)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canadian Studies, Fall 2008
2008· 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
affunlabeled
A Primer on Local Food Systems
Amber Heckelman
2018· article· en· Journal of Agriculture Food Systems and Community Development· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Iowa Local Food & Farm Plan
2011· article· en· Iowa State University Digital Repository (Iowa State University)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
La simplicité volontaire
2011· book-chapter· fr· DIAL (Catholic University of Leuven)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Honolulu Weekly. Volume 23, Number 14, 2013-04-03
2013· other· en· eVols (University of Hawaii)· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Får:et miljøvenligt alternativ til ukrudtsbekæmpelse
Anne Mette Dahl Jensen, Kim Sintorn
2010· article· da· Research at the University of Copenhagen (University of Copenhagen)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About