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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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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.

37,702 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
37,702 works in the cohort · of 4,299,418page 307 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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
COSO 2011 Draft - Comments and Recommendations
John Kyriazoglou
2012· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Information Technology and Efficiency in Trucking
Philippe Barla, Denis Bolduc, Nathalie Boucher, Jonathan Watters
2008· article· en· SSRN Electronic Journal· Energy
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Preferred Pharmacy Networks and Drug Costs
Amanda Starc, Ashley Swanson
2018· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Vocationalization in the Research Intensive University
Manuel Crespo, Houssine Dridi, Marie Lecomte
2013· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Culture, Development, and Zero-Sum Thought
Louisa Egan, Daniel Diermeier
2011· article· en· SSRN Electronic Journal· Psychology
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Opacity of ‘Transparent’ Bitcoin Data
Anne Haubo Dyhrberg, Sean Foley, Jiří Švec, Benjamin M. Cole
2019· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Causal Inference in Urban and Regional Economics
Nathaniel Brandt Baum-Snow, Fernando V. Ferreira
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affno abstractunlabeled
Report on the Privacy Act of British Columbia
British Columbia Law Institute
2008· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Retreat from Educational Equality
Colin M. MacLeod
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Role of Computational Trust Models in Service Science
Young Ae Kim, Muhammad Aurangzeb Ahmad, Jaideep Srivastava, Soung Hie Kim
2009· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
One Right Answer?: The Meta Edition
Dan Priel
2011· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Mellon Financial and The Bank of New York (TN)
Carliss Y. Baldwin, Ryan Taliaferro
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About