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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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Research at the University of Copenhagen (University of Copenhagen)
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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.

1,781 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.
1,781 works in the cohort · of 4,299,418page 23 of 36

Labels cover 4 of 1,781 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 1,781 of 1,781 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.

affunlabeled
Sådan bør regeringen føre grøn finanspolitik
Anders Bjørn, Anders Blok, Asker Voldsgaard, Charlotte Myhre; id_orcid 0000-0002-7058-4641 Jensen, Jens Friis Lund, Stefan Gaarsmand Jacobsen
2021· other· da· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Law of the Sea
Yoshifumi Tanaka
2014· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduktion
Mikkel Jarle Christensen, Janne Rothmar Herrmann, Jakob v. H. Holtermann, Mikael Rask Madsen
2021· book-chapter· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tsunami-effekt. Når katastrofen rammer
Morten Broberg
2016· article· da· Research at the University of Copenhagen (University of Copenhagen)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An Introduction to Nordic Construction Law
Sylvie Cécile Cavaleri
2018· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Klimarådet bør være mere tværfagligt
Jens Friis Lund, Anders Blok, Anders Bjørn, Stefan Gaarsmand Jacobsen
2020· other· da· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Mandates
Luc Reydams, Jed Odermatt
2012· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Trump vil bore efter olie og opruste i Arktis
Lone Wandahl Mouyal
2016· article· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Switzerland
Sylvie Cavaleri Jørgensen
2010· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Chicago School
Keith John Hayward
2013· article· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
The nomination of Justice Kagan to the US Supreme
Federico Fabbrini
2010· article· it· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Keith John Hayward, Jeff Ferrell
2011· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Produktionsaussagen im Kauf- und Werberecht
Carola Glinski
2005· book-chapter· de· Research at the University of Copenhagen (University of Copenhagen)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Qualification, Selection and Exclusion in EU Procurement
Martin Burgi, Steen Treumer, Martin Trybus
2016· book· en· Research at the University of Copenhagen (University of Copenhagen)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction
Mark Siderits, Evan Thompson, Dan Zahavi
2011· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Denmark
Vibe Garf Ulfbeck
2018· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Arvingerne. Hvor tæt er serien på virkelighed?
Rasmus Kristian Feldthusen
2014· article· da· Research at the University of Copenhagen (University of Copenhagen)· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introduktion
Jakob v. H. Holtermann
2013· book-chapter· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Collies og ivermektin
Michaela E. C. Treschow, Merete Fredholm
2007· article· da· Research at the University of Copenhagen (University of Copenhagen)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hegemonic Custom?
Achilles Skordas
2003· book-chapter· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About