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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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Consumer Attitudes and Food Labeling
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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.

1,275 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.
1,275 works in the cohort · of 4,299,418page 1 of 26

Labels cover 3 of 1,275 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 1,275 of 1,275 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Ultra-processed foods: what they are and how to identify them
Carlos Augusto Monteiro, Geoffrey Cannon, Renata Bertazzi Levy, Jean‐Claude Moubarac, Maria Laura da Costa Louzada, Fernanda Rauber +6 more
2019· article· en· Public Health Nutrition· Medicine
distilled prediction:candidate · noneconsensus · none
2,701
citations
affvenueaboutno abstractunlabeled
Consumption of ultra-processed foods and obesity in Canada
Milena Nardocci, Bernard‐Simon Leclerc, Maria Laura da Costa Louzada, Carlos Augusto Monteiro, Malek Batal, Jean‐Claude Moubarac
2018· article· en· Canadian Journal of Public Health· Medicine
distilled prediction:candidate · noneconsensus · none
340
citations
affno abstractunlabeled
Processed foods: contributions to nutrition
Connie M. Weaver, Johanna Dwyer, Victor L. Fulgoni, Janet C. King, Gilbert A. Leveille, Ruth S. MacDonald +2 more
2014· article· en· American Journal of Clinical Nutrition· Medicine
distilled prediction:candidate · noneconsensus · none
333
citations
affno abstractunlabeled
Front-of-package food labels: A narrative review
Norman J. Temple
2019· review· en· Appetite· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
265
citations
affunlabeled
Functional foods: a conceptual definition
Maurice Doyon, JoAnne Labrecque
2008· article· en· British Food Journal· Medicine
distilled prediction:candidate · insufficient_payloadconsensus · none
233
citations
affunlabeled
When Healthy Food Makes You Hungry
Stacey R. Finkelstein, Ayelet Fishbach
2010· article· en· Journal of Consumer Research· Medicine
distilled prediction:candidate · research_integrityconsensus · none
218
citations
venueno affno abstractunlabeled
Nutrition Marketing on Food Labels
Sarah Colby, LuAnn K. Johnson, Angela Scheett, Bonita S. Hoverson
2010· article· en· Journal of Nutrition Education and Behavior· Medicine
distilled prediction:candidate · noneconsensus · none
170
citations
affno abstractunlabeled
Best practices for applying the Nova food classification system
Eurídice Martínez Steele, Neha Khandpur, Carolina Batis, Maira Bes‐Rastrollo, Marialaura Bonaccio, Gustavo Cediel +11 more
2023· article· en· Nature Food· Medicine
distilled prediction:candidate · noneconsensus · none
146
citations
affno abstractunlabeled
Food labels: A critical assessment
Norman J. Temple, Joy Fraser
2013· review· en· Nutrition· Medicine
distilled prediction:candidate · noneconsensus · none
145
citations

How this was built: Screen · Findings · About