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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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Auditing, Earnings Management, Governance
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,740 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.
3,740 works in the cohort · of 4,299,418page 18 of 75

Labels cover 11 of 3,740 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 3,740 of 3,740 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.

affunlabeled
Information Quality and Workplace Safety
Ole‐Kristian Hope, Danye Wang, Heng Yue, Jianyu Zhao
2021· article· en· Journal of Management Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
37
citations
affno abstractunlabeled
Analyst following along the supply chain
Yuyan Guan, M.H. Franco Wong
2014· article· en· Review of Accounting Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
36
citations
venueno affunlabeled
The Monitoring Effect of More Frequent Disclosure
Benedikt Downar, Jürgen Ernstberger, Benedikt Link
2017· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
Corporate Investments: Learning from Restatements
Art Durnev, Claudine Mangen
2008· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
35
citations
aboutno affunlabeled
Corporate governance and compliance with IFRS 7
Yosra Mnif, Oumaima Znazen
2020· article· en· Managerial Auditing Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
35
citations
fundvenueno affunlabeled
Financial statement similarity
Stephen Brown, Guang Ma, Jennifer Wu Tucker
2023· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
34
citations
venueno affunlabeled
Nonrecurring Items in Debt Contracts
Anne Beatty, Lin Cheng, Tzachi Zach
2018· article· en· Contemporary Accounting Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
34
citations
affno abstractunlabeled
Measuring Corporate Culture Using Machine Learning
Kai Li, Feng Mai, Rui Shen, Xinyan Yan
2018· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
33
citations

How this was built: Screen · Findings · About