MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Food composition and properties
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

2,068 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
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 36 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.

affvenueaboutunlabeled
Lu oat
Jennifer W. Mitchell Fetch, S Kibite, G W Clayton, T K Turkington, J. Chong, T Fetch +3 more
2009· article· en· Canadian Journal of Plant Science· Nursing
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Chemical and nutraceutical characterization of coproducts obtained during the protein concentrate preparation from azufrado common (Phaseolus vulgaris) bean grains
Laura Gabriela Espinosa‐Alonso, Jocelyn de Jesús Gálvez-Morales, Chibuike C. Udenigwe, Alma Leticia Martínez‐Ayala, Maribel Valdez‐Morales, Ángel Valdez-Ortíz +1 more
2025· article· en· Biocatalysis and Agricultural Biotechnology· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial Board, Aims & Scope, Table of Contents
Stefan Spiegel, Conor Doss, Jie Cai, Emily Hu, Ying Jia, Jenny Mahoney +171 more
2018· paratext· en· Journal of Applied Polymer Science· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Introduction to Volume 100, Number 4
Les Copeland
2023· article· en· Cereal Chemistry· Nursing
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Measurement of Physical Dimensions of Mung Bean
L. Ravikanth, Digvir S. Jayas, K. Alagusundaram, V. Chelladurai
2013· article· en· Journal of Agricultural Engineering (India)· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Diabetes and Plate Method
Soghra Jarvandi
2020· article· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Application of extrusion in protein-based foods
Aayushi Kadam, Ravinder J. Singh, Hamit Köksel, Filiz Köksel
2025· book-chapter· en· Elsevier eBooks· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s9999-9994(12)20740-8
2000· article· en· Time to knit· Nursing
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Fat Replacers
Fereidoon Shahidi, S.P. Senanayake
2007· other· en· Kirk-Othmer Encyclopedia of Chemical Technology· Nursing
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About