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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.

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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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Urban Agriculture and Sustainability
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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.

951 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.
951 works in the cohort · of 4,299,418page 12 of 20

Labels cover 4 of 951 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 951 of 951 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
Die resiliente Stadt
Elke Mertens
2021· book· de· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Sevrage précoce et bien-être des porcelets
Suzanne Robert, Daniel M. Weary, H. W. Gonyou
2000· article· fr· Cahiers Agricultures· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
What you should know about Black birders
Jacqueline Scott
2020· preprint· en· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Uncovering hidden urban bounty: A case study of Hidden Harvest
Chloé Poitevin DesRivières
2019· article· en· Canadian Food Studies / La Revue canadienne des études sur l alimentation· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Local Food System Planning
R. Buchan
2015· article· en· Canadian journal of urban research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Ο Σχεδιασμός σίτισης των πόλεων: επιτεύγματα, δυνατότητες και προκλήσεις με βάση τις περιπτώσεις Τορόντο και Σαν Φρανσίσκο = Urban Food Planning in Toronto and San Francisco: achievements, dynamics and challenges
Γεωργία Τσέβα
2015· article· el· Πανελλήνια και Διεθνή Γεωγραφικά Συνέδρια, Συλλογή Πρακτικών· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Green Healthful Vegetable——Celery
Tang Xue-ju
2008· article· en· Seed· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Who’s Hungry: The Development of a Youth Guide
Rachel Singer
2010· article· en· Journal for Activist Science and Technology Education· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
No. 03: The Urban Food System of Cape Town, South Africa
Gareth Haysom, Jonathan Crush, Mary Caesar
2017· article· en· Scholars Commons (Wilfrid Laurier University)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Society of the Quarter - Urban Farming
Lauren Goode
2015· article· en· Journal of Agricultural & Food Information· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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