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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.

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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 219 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
Board Expertise and Executive Incentives
Xiaojing Meng, Joyce Tian
2017· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Mixed frequency models with MA components
Claudia Foroni, Massimiliano Marcellino, Dalibor Stevanovi
2018· article· en· SSRN Electronic Journal· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Fair Market Value Could Have Contributed to the Crash
Radhika Lunawat, Kira Pronin, Jack Douglas Stecher, Gaoqing Zhang
2013· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The Peer Performance of Hedge Funds
David Ardia, Kris Boudt
2012· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Human Capital and Climate Change
Noam Angrist, Kevin Winseck, Harry Anthony Patrinos, Joshua Graff Zivin
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Endogenous Kink Threshold Regression
Jianhan Zhang, Chaoyi Chen, Yiguo Sun, Thanasis Stengos
2024· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affaboutno abstractunlabeled
Transfer Pricing in Canada
David G. Duff
2008· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
ESG washing: when cheap talk is not cheap!
Najah Attig, Abdlmutaleb Boshanna
2023· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Contagion in a Network of Heterogeneous Banks
Ramazan Gençay, Hao Pang, Michael Tseng, Yi Xue
2017· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
The Impact of Oil Exploitation on Wellbeing in Chad
Gadom Djal-Gadom, Armand Kountchou Mboutchouang, Gbètoton Nadège Djossou, Kane Gilles Quentin, Abdelkrim Araar
2017· article· en· SSRN Electronic Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
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