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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 287 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.

affaboutunlabeled
Law: A Profession, Not a Life
Trevor C. W. Farrow
2002· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Tax and Terrorism: A New Partnership?
Michelle Gallant
2007· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Interpreting Value at Risk (VaR) Forecasts
Allan W. Gregory, Jonathan J. Reeves
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Private Governance and Animal Welfare
Sarah J. Morath
2018· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Flexibility in Income Shifting Under Losses
Arnt O. Hopland, Mohammed Mardan, Dirk Schindler
2017· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Landmark-Centered Coding in Frontal Cortex Visual Responses
Adrian Schütz, Vishal Bharmauria, Xiaogang Yan, Hongying Wang, Frank Bremmer, J. Douglas Crawford
2020· article· en· SSRN Electronic Journal· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
CRM and AI in Time of Crisis
Michelle Y. Lu, Navid Mojir
2021· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Limits of Public Contract Law
Anthony J. Casey, Anthony Niblett
2021· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Factor Models for Binary Financial Data
M. Fabricio Perez, Andriy Shkilko, Konstantin Sokolov
2015· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Technological Innovation and Labor Income Risk
Leonid Kogan, Dimitris Papanikolaou, Lawrence Schmidt, Jae Song
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Knowledge Diffusion through Employee Mobility
April Franco, Darren Filson
2000· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Looking under the Hood of Active Credit Managers
Diogo Palhares, Scott A. Richardson
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

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