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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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Firm Innovation and Growth
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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
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aboutaboutness

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

1,145 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.
1,145 works in the cohort · of 4,299,418page 1 of 23

Labels cover 3 of 1,145 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 1,145 of 1,145 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
Measuring firm size in empirical corporate finance
Chongyu Dang, Zhichuan Li, Chen Yang
2017· article· en· Journal of Banking & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
689
citations
affunlabeled
Are US Industries Becoming More Concentrated?
Gustavo Grullon, Yelena Larkin, Roni Michaely
2019· article· en· European Finance Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
678
citations
affno abstractgemma · no categorygpt · no categorymodels agree
Competition and innovation behaviour
Jianmin Tang
2005· article· en· Research Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
284
citations
afffundno abstractunlabeled
Start-up financing, owner characteristics, and survival
Thomas B. Åstebro, Irwin Bernhardt
2003· article· en· Journal of Economics and Business· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
200
citations
affno abstractunlabeled
Age effects, leverage and firm growth
Kim P. Huynh, Robert J. Petrunia
2010· article· en· Journal of Economic Dynamics and Control· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
172
citations
affunlabeled
Financing Labor
Efraim Benmelech, Nittai Bergman, Amit Seru
2021· article· en· European Finance Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
154
citations
aboutno affunlabeled
Barriers to small business growth in Canada
Amarjit Gill, Nahum Biger
2012· article· en· Journal of Small Business and Enterprise Development· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
131
citations
affno abstractunlabeled
Innovation and integration in the agri-food industry
Kostas Karantininis, Johannes Sauer, William Hartley Furtan
2009· article· en· Food Policy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
112
citations
fundno affno abstractunlabeled
Competing models of firm profitability
Margaret E. Slade
2004· article· en· International Journal of Industrial Organization· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
95
citations

How this was built: Screen · Findings · About