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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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European and International Law Studies
Retraction
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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.

1,396 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.
1,396 works in the cohort · of 4,299,418page 19 of 28

Labels cover 1 of 1,396 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 1,396 of 1,396 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
Juraprofessorers responderende virksomhed
Henrik Palmer Olsen, Michael Gøtze
2014· article· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Retlig autoritet og argumentation
Mikael Rask Madsen, Henrik Palmer Olsen
2017· article· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Lærebog i aftaleret
Ole Ertløv Hansen, Vibe Garf Ulfbeck
2023· book· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
European Tort Law: Tort Law in Denmark 2014
Andreas Bloch Ehlers, Søren Bergenser
2013· book· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Lærebog i aftaleret
Vibe Garf Ulfbeck, Ole Ertløv Hansen
2014· book· da· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Tort Law in Denmark
Søren Bergenser, Andreas Bloch Ehlers
2013· article· en· Research at the University of Copenhagen (University of Copenhagen)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hvad gør regeringen ved spin
Oluf Jørgensen
2019· article· da· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Topskattens spåkoner går for vidt
Poul Thøis Madsen
2016· article· sv· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Il nuovo Rettore Giuseppe Zaccaria
Mattoschi ComunicAzione srl
2009· article· it· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Hydro One et Ontario Power Generation
Ministère des Finances
2006· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Article 86 Appeals
Ruwantissa Abeyratne
2013· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Article 84 Settlement of Disputes
Ruwantissa Abeyratne
2013· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About