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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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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
Publication date
Categories
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 27 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 affunlabeled
House in Letovice
Jiří Veverka
2015· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Kindergarten
Simona Svobodová
2017· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Material conditions of households
Gabriela Šamanová
2010· report· cs· Digital Repository (National Repository of Grey Literature)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trusteeship in the context of inheritance law
Martin Kofroň
2022· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Nursery School
Michal Murárik
2019· dissertation· sk· Digital Repository (National Repository of Grey Literature)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
METIS mirror M0 FS
Vít Lédl
2016· report· en· Digital Repository (National Repository of Grey Literature)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
The impact of a reduced rate of VAT on food
Viktor Janáček
2013· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Olympic Broadcast Rights
Martin Žižka
2014· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Current issues related to government debt financing
Jakub Kuneš
2024· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Equal pay good practice in Canada
Hana Maříková
2022· report· cs· Digital Repository (National Repository of Grey Literature)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
WTO- actual activities
Jakub Macháček
2014· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About