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

1,622 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.
1,622 works in the cohort · of 4,299,418page 17 of 33

Labels cover 0 of 1,622 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 1,622 of 1,622 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
Bi-Polarization Comparisons
Jean‐Yves Duclos, Damien Échevin
2003· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
venueaboutno affunlabeled
Is R&D Enough in Improving Firm Productivity?
Jianmin Tang, Weimin Wang
2019· article· en· International productivity monitor· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Competition, Patents and Innovation 
2008· report· en· OECD competition law and policy working papers.· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Convergence in Government Spending
Panos Afxentiou, Apostolos Serletis
2002· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
The Canada-US ICT Investment Gap: An Update
Andrew Sharpe, Jean-François Arsenault
2008· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Persistence in Convergence
Thanasis Stengos, M. Ege Yazgan
2011· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Robust Correlates of County-Level Growth in the U.S.
Matthew J. Higgins, Andrew T. Young, Daniel Lévy
2007· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Innovation and Entrepreneurship in Emerging Economies
Romel Mostafa, Francisco Veloso, Tarun Khanna
2012· article· en· Academy of Management Proceedings· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Openness, domestic performance and growth
Kui‐Wai Li, Xianbo Zhou
2009· article· en· Economics Letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Demographic Dividends Revisited
Jeffrey G. Williamson
2013· article· en· Asian Development Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Frictions and the diffusion of automation
Nikolaos Charalampidis
2023· article· en· Manchester School· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
2
citations
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