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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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Artificial Intelligence and Law
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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.

14 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.
14 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 14 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 14 of 14 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.

affno abstractunlabeled
Evaluation of information retrieval for E-discovery
Douglas W. Oard, Jason R. Baron, Bruce Hedin, David Lewis, Stephen Tomlinson
2010· article· en· Artificial Intelligence and Law· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
affunlabeled
Thirty years of artificial intelligence and law: the third decade
Serena Villata, Michał Araszkiewicz, Kevin D. Ashley, Trevor Bench‐Capon, L. Karl Branting, Jack G. Conrad +1 more
2022· article· en· Artificial Intelligence and Law· Social Sciences
machine prediction:candidate · noneconsensus · none
52
citations
affno abstractunlabeled
The epistemology of scientific evidence
Douglas Walton, Nanning Zhang
2012· article· en· Artificial Intelligence and Law· Social Sciences
machine prediction:candidate · stsconsensus · none
38
citations
affno abstractunlabeled
A Carneades reconstruction of Popov v Hayashi
Thomas F. Gordon, Douglas Walton
2012· article· en· Artificial Intelligence and Law· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
When expert opinion evidence goes wrong
Douglas Walton
2019· article· en· Artificial Intelligence and Law· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Baseballs and arguments from fairness
Douglas Walton
2013· article· en· Artificial Intelligence and Law· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About