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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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British Food Journal
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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

123 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.
123 works in the cohort · of 4,299,418page 1 of 3

Labels cover 1 of 123 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 123 of 123 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.

afffundunlabeled
Food choice in the e-commerce era
Ou Wang, Simon Somogyi, Sylvain Charlebois
2020· article· en· British Food Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
136
citations
aboutno affunlabeled
What is food poverty? A conceptual framework
Niamh O’Connor, Karim Farag, R.N. Baines
2016· article· en· British Food Journal· Health Professions
machine prediction:candidate · noneconsensus · none
77
citations
affaboutunlabeled
Meat consumption and higher prices
Sylvain Charlebois, Maggie McCormick, Mark Juhasz
2016· article· en· British Food Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
43
citations
affaboutunlabeled
The Toronto food inspection and disclosure system
Sylvanus Thompson, Ron de Burger, Olayemi Kadri
2005· article· en· British Food Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affaboutunlabeled
Food safety infosheets
Ben Chapman, Tanya MacLaurin, Douglas Powell
2011· article· en· British Food Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Specialty food retailing
Cristina Calvo-Porral, Jean-Pierre Lévy-Mangín
2016· article· en· British Food Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
The role of social media in communication about food risks
Julie Henderson, Annabelle Wilson, Trevor Webb, Dean McCullum, Samantha B. Meyer, John Coveney +1 more
2017· article· en· British Food Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Food quality vs food patriotism
Mirzobobo Yormirzoev, Ramona Teuber, Tongzhe Li
2018· article· en· British Food Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
25
citations
affaboutunlabeled
Food deserts: is it only about a limited access?
Francine Rodier, Fabien Durif, Myriam Ertz
2017· article· en· British Food Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
How food regulators communicate with consumers about food safety
Annabelle Wilson, Samantha B. Meyer, Trevor Webb, Julie Henderson, John Coveney, Dean McCullum +1 more
2015· article· en· British Food Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
24
citations
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