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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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Nutritional Studies and Diet
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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.

2,717 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.
2,717 works in the cohort · of 4,299,418page 10 of 55

Labels cover 6 of 2,717 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 2,717 of 2,717 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
Dietary and health biomarkers—time for an update
Lars Ove Dragsted, Qian Gao, Giulia Praticò, Claudine Manach, David S. Wishart, Augustin Scalbert +1 more
2017· editorial· en· Genes & Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
50
citations
affunlabeled
Inventory on the dietary assessment tools available and needed in africa: a prerequisite for setting up a common methodological research infrastructure for nutritional surveillance, research, and prevention of diet-related non-communicable diseases
Pedro T. Pisa, Edwige Landais, Barrie Margetts, Hester H. Vorster, Christine M. Friedenreich, Inge Huybrechts +40 more
2014· review· en· Critical Reviews in Food Science and Nutrition· Medicine
machine prediction:candidate · metaresearchconsensus · none
48
citations
affno abstractunlabeled
Dairy consumption, plasma metabolites, and risk of type 2 diabetes
Jean‐Philippe Drouin‐Chartier, Pablo Hernández‐Alonso, Marta Guasch‐Ferré, Miguel Ruiz‐Canela, Jun Li, Clemens Wittenbecher +19 more
2021· article· en· American Journal of Clinical Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
47
citations
afffundunlabeled
Nutrition economics – food as an ally of public health
Irene Lenoir‐Wijnkoop, Peter J.H. Jones, Ricardo Uauy, Leonie Segal, John A. Milner
2013· article· en· British Journal Of Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
46
citations
fundno affunlabeled
Diet and Nutrition Status of Mongolian Adults
Sabri Bromage, Daria Tselmen, Rebecca L. Lander, Soninkhishig Tsolmon, Lisa A Houghton, Tserennadmid Enkhjargal +3 more
2020· article· en· Nutrients· Medicine
machine prediction:candidate · noneconsensus · none
45
citations

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