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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
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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.

1,275 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.
1,275 works in the cohort · of 4,299,418page 7 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
Consumer understanding of cigarette emission labelling
Karine Gallopel‐Morvan, Crawford Moodie, David Hammond, Figen Eker, E. Béguinot, Y. Martinet
2010· article· en· European Journal of Public Health· Medicine
distilled prediction:candidate · noneconsensus · none
26
citations
fundno affunlabeled
Food price trends during the COVID-19 pandemic in Brazil
Giovanna Calixto Andrade, Thaís Cristina Marquezine Caldeira, Laís Amaral Mais, Ana Paula Bortoletto Martins, Rafael Moreira Claro
2024· article· en· PLoS ONE· Medicine
distilled prediction:candidate · noneconsensus · none
25
citations
venueno affno abstractunlabeled
Who's Using MyPlate?
Brian Wansink, Sibylle Kranz
2013· article· en· Journal of Nutrition Education and Behavior· Medicine
distilled prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About