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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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Genes & Nutrition
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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.

50 results · 1 filter active ·
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20072024
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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.
50 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 50 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 50 of 50 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.

fundno affunlabeled
Milk exosomes: beyond dietary microRNAs
Janos Zempleni
2017· editorial· en· Genes & Nutrition· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
62
citations
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
affno abstractunlabeled
Risks of nutrigenomics and nutrigenetics? What the scientists say
Thierry Hurlimann, V. Menuz, Janice Graham, Julie Robitaille, Marie‐Claude Vohl, Béatrice Godard
2013· article· en· Genes & Nutrition· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
Angélica María Muñoz Contreras, Claudia María Velásquez, Gloria María Agudelo, Rosa Magdalena Uscátegui, Alejandro Estrada, Fredy Alonso Patiño Villada +3 more
2017· article· en· Genes & Nutrition· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Session 3: Sugar transport
Chris Cheeseman, Jens Herrmann, Bernd Schröder, G. Breves
2012· article· en· Genes & Nutrition· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

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