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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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Food composition and properties
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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
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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.

2,068 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.
2,068 works in the cohort · of 4,299,418page 39 of 42

Labels cover 4 of 2,068 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 2,068 of 2,068 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.

affno abstractunlabeled
Reply to A Walker and B Walker
David J.A. Jenkins, Cyril W.C. Kendall, Augustine Marchie, Livia S. A. Augustin
2005· article· en· American Journal of Clinical Nutrition· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Issues raised by psyllium meta-analysis
G M Van Rosendaal, Eldon A. Shaffer, Alun Edwards, Lloyd R. Sutherland
2001· letter· en· American Journal of Clinical Nutrition· Nursing
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
Reply to MJ Keenan et al.
Thomas M.S. Wolever, Nicholas Bordenave
2017· letter· en· American Journal of Clinical Nutrition· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Novosadski golozrni: A spring oat variety
Novo Pržulj, Vojislav Mihailović, Vojislava Momčilović
2001· article· sh· FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia)· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Stargazing in a Rush
Jesse Corbeil
2012· article· en· Journal of the Royal Astronomical Society of Canada· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Chemical Composition and Storage Study of Debittered Orange-Seed Flour
Ernest Eguono Emojorho, Onyekachukwu Mabel ADINKWU, Uyoyoghene O. Ududua, Ferdinard N. Okoh, C. Ogwu, Charles Chukwudi OGBOLI +1 more
2025· article· en· Asian Journal of Research in Biochemistry· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Glyceryl Monothioglycolate (GTG): A Review
Maria Antonieta Scherrer, Gisele Froes
2008· article· en· Dermatitis· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Use of the Mixolab in Predicting Rice Quality
Lihong Xie, Neng Chen, Binwu Duan, Zhiwei Zhu, Peisong Hu
2013· book-chapter· en· Elsevier eBooks· Nursing
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About