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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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Economic Development and Digital Transformation
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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.

227 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.
227 works in the cohort · of 4,299,418page 3 of 5

Labels cover 2 of 227 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 227 of 227 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.

venueno affunlabeled
Competitive Ability of Russian Economy on Macroeconomic Level
Grigoriy Artyomovich Balyhin, V. Alekseenko, N. Sopilko, Ekaterina Alexandrovna Zhyravleva, Gozel’ Muradovna Kutlyeva
2015· article· en· Review of European Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Enterprise Reform and China’s Modernization
Jiangjun Li, Shengyue Han, Rui Liang
2022· article· en· Journal of Applied Business and Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Power Periodicity
Sergey Smolnikov
2018· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Impact of China’s Policies
Didi Kirsten Tatlow, Greg Walton, Anna B. Puglisi
2020· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Workshop on ‘Transfer of Technology’
Frank O’Reilly
2020· book-chapter· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Measuring Industrial Policy: A Text Based Approach
Réka Juhász, Nathaniel Lane, Emily Oehlsen, Verónica C. Pérez
2025· preprint· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Main trends of process of intellectualisation
T M Boholyb, Боголиб Татьяна Максимовна
2013· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
What Is A Complex Innovation System?
Katz J. Sylvan
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About