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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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Innovation and Knowledge Management
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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
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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.

1,665 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.
1,665 works in the cohort · of 4,299,418page 24 of 34

Labels cover 8 of 1,665 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 1,665 of 1,665 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.

affunlabeled
Achieving Competitive Advantage through Innovation
Wei Song
2012· book-chapter· en· Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
3D Printing as a Case of Disruptive Technology
Vincent Sabourin
2018· book-chapter· en· Advances in e-business research series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Disruptive Timing
Leon Yang Chu, Guang Li, Andy Wu, Brian Wu
2025· article· en· Management Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Localisation, coopérations et développement
Mohamed Bilel Ben Dhifallah
2012· article· fr· Revue internationale P M E Économie et gestion de la petite et moyenne entreprise· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
DEVELOPING INDICATORS OF OPEN INNOVATION EVENT OUTCOMES
CORALIE GAGNÉ, Sophie Veilleux, FABIANO ARMELLINI, PATRICK COHENDET, Luc Sirois
2023· article· en· International Journal of Innovation Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Technology rhetoric and institutional ownership
Panayiotis C. Andreou, Kyriakos Drivas, Dennis Philip, Geoffrey Wood
2024· article· en· Cambridge Journal of Economics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Digital Transformation of Business in Japan
William W. Baber, Anshuman Khare
2023· book-chapter· en· Economics, law, and institutions in Asia Pacific· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
A REVIEW OF STAKEHOLDER DYNAMICS
Tamás Koplyay, Mária Fekete‐Farkas, Doug Lloyd, Edit Feher–Toma
2016· review· en· Polish Journal of Management Studies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About