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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.

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.

1,145 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 14 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.

affaboutunlabeled
An R package for calculating repeat-sale price indices
Megan Kirby-McGregor, Steve Martin
2019· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Entrepreneurship, job creation and innovation
Simon C. Parker
2009· book-chapter· en· Cambridge University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
An evaluation of small businesses in Iran
Ahmad Jafari Samimi, Mahmood Yahyazadefar, Hasanali Aghajani
2013· article· en· Management Science Letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Knowledge Diffusion through Employee Mobility
April Franco, Darren Filson
2000· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Toward Dynamic-Based Classification of SMEs
Shaike Marom
2021· article· en· International Journal of Business Administration· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Innovation, Productivity, and Training
Benoît Dostie
2014· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affvenueaboutunlabeled
Un diagnostic de pré-démarrage pour les PME et PE
André Archer
2012· article· fr· Revue internationale P M E Économie et gestion de la petite et moyenne entreprise· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
New Venture Start-Ups and Technological Innovation
George Blazenko, Andrey D. Pavlov, Freda Eddy‐Sumeke
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
afffundno abstractunlabeled
Business ownership and the secondary market
Zachary L. Mahone
2023· article· en· Review of Economic Dynamics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About