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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 168 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
Social Welfare and Coercion in Public Finance
Stanley L. Winer, George Tridimas, Walter Hettich
2008· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Illicit Money Flows as Motives for FDI
M. Fabricio Perez, Josef C. Brada, Zdeněk Drábek
2011· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Why Zoning is Too Restrictive
Jack Favilukis, Jaehee Song
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
NetEase Cloud Music Data
Dennis Zhang, Ming Hu, Xiaofei Liu, Yuxiang Wu, Yong Li
2020· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
A Horizon Scan of Global Catastrophic Risks
Giuseppe Dal Prá, Timur Burkhanov, Constantin W. Arnscheidt, Roger Cremades, Carla Zoe Cremer, Victor Galaz +22 more
2024· preprint· en· SSRN Electronic Journal· Energy
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Hansen-Jagannathan Distance with Many Assets
Marine Carrasco, Cheikh Nokho
2024· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
On the Fiscal Implications of Twin Crises
Craig Burnside, Martin Eichenbaum, Sérgio Rebelo
2001· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Optimal Risk Taking With Flexible Income
Jakša Cvitanić, Levon Goukasian, Fernando Zapatero
2007· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
When is the Best Time to Hide Earnings News?
Roni Michaely, Amir Rubin, Alexander Vedrashko
2015· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Safe Sharing Sites
Lisa M. Austin, David Lie
2019· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Nodal Wars and Network Fallacies
Clifford Shearing, Les Johnston
2010· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About