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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.

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 18 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.

aboutno affno abstractunlabeled
BIZAV IN CANADA ATTAINS GROWTH AND MATURITY
John Sheridan
2001· article· en· Aviation International News· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Can the Canada-U.S. ICT Gap be a Measurement Issue?
Andrew Sharpe, Vikram Rai
2013· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Robust Tests for Convergence Clubs
Luisa Corrado, Thanasis Stengos, Melvyn Weeks
2018· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
List of Contributors
2011· book-chapter· en· Advances in the study of entrepreneurship, innovation, and economic growth· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundno abstractunlabeled
Patent Trading Flows of Small and Large Firms
Nicolás Figueroa, Carlos J. Serrano
2013· preprint· en· Research Policy· Economics, Econometrics and Finance
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affunlabeled
Entreprises par classe de taille
2017· book-chapter· fr· Panorama de l'entrepreneuriat· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
FLYING HIGH – INVESTING IN THE CANNABIS INDUSTRY
Robert N. Killins, Daniel P. Liston
2022· article· en· Journal of International Finance and Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Subject Index
2006· book-chapter· en· Edward Elgar Publishing eBooks· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Editorial
Gervan Fearon
2019· editorial· es· Atlantic Economic Journal· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Serial Acquisitions in Tech 
Ginger Zhe Jin, Mario Leccese, Liad Wagman, Yunfei Wang
2025· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Factor Exposure Heterogeneity in Green and Brown Stocks
David Ardia, Keven Bluteau, Gabriel Lortie-Cloutier, Thien Duy Tran
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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