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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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Digital Repository (National Repository of Grey Literature)
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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.

1,496 results · 1 filter active ·
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20012025
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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.
1,496 works in the cohort · of 4,299,418page 15 of 30

Labels cover 0 of 1,496 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 1,496 of 1,496 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 affno abstractunlabeled
Quebec's Leanguage Policy
Martin Opolecký
2007· dissertation· sk· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Time going to the work and work injuries
Jana Řežábková
2010· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Producer price indices - 1st quarter of 2012
Český statistický úřad
2010· other· cs· Digital Repository (National Repository of Grey Literature)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Canadian English
Aneta Šubertová
2010· dissertation· en· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Narrative Strategies in Anne Hébert's Novels
Annemarie Hujová
2021· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Analysis of the website of Nova TV and Prima TV
Barbora Machková
2010· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reform of Canadian asylum system
Lenka Staňková
2012· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Freshwater mussels (Unionidae) in CITES
Lucie Hnídková
2019· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
METIS mirror M0 FM
Vít Lédl
2016· report· en· Digital Repository (National Repository of Grey Literature)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
City House Brno
Daniela Šámalová
2013· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Period poverty among university students
Manuela Haug
2024· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hannover between Great Britain and Prussia
Jan Rampas
2019· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Current issues of international carriage by air
Anna Kalašnikovová
2020· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Family house
Simona Svobodová
2015· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About