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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.

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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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Wine Industry and Tourism
Retraction
Abstract
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Label agreement
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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.

1,059 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,059 works in the cohort · of 4,299,418page 15 of 22

Labels cover 3 of 1,059 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 1,059 of 1,059 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.

aboutno affunlabeled
Raising a glass to better beverage management
Dan McCue
2011· article· en· Thomas register's inbound logistics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Want a Free Beer? Find a Canadian!
Jovana Tomić
2013· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Ontario Wines in the Marketplace
Astrid Brummer
2013· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Ontario Wine Industry: Moving Forward
Maxim Voronov, Dirk De Clercq, Narongsak Thongpapanl
2013· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Index
2020· paratext· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Foreword
Konrad Ejbich
2013· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
A Business History of Retail
Bettina Liverant
2024· book· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Meke in Multicultural Canada
2019· book-chapter· en· University of Wisconsin Press eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2014· article· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Merinos in Sweden, France and Great Britain
Roger J. Wood, Vítêzslav Orel
2001· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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