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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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Technology Innovation Management Review
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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.

522 results · 1 filter active ·
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20112022
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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.
522 works in the cohort · of 4,299,418page 2 of 11

Labels cover 0 of 522 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 522 of 522 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
Building Trust in High-Performing Teams
Mila Hakanen, Aki Soudunsaari
2012· article· en· Technology Innovation Management Review· Psychology
machine prediction:candidate · noneconsensus · none
48
citations
affvenueunlabeled
The Physical Internet and Business Model Innovation
Benoît Montreuil, Jean-François Rougès, Yan Cimon, Diane Poulin
2012· article· en· Technology Innovation Management Review· Engineering
machine prediction:candidate · noneconsensus · none
43
citations
venueno affunlabeled
University Spinoffs: What, Why, and How?
Pinaki Nandan Pattnaik, Satyendra C. Pandey
2014· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
38
citations
venueno affunlabeled
Building Cyber-Resilience into Supply Chains
Adrian Davis
2015· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
38
citations
venueno affunlabeled
AI-Driven Digital Platform Innovation
Serge Yablonsky
2020· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
38
citations
venueno affunlabeled
Conceptualizing Innovation in Born-Global Firms
Erik Zijdemans, Stoyan Tanev
2014· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
36
citations
venueno affunlabeled
Towards Smart City Concept in Small Cities
Heikki Ruohomaa, Vesa Salminen, Iivari Kunttu
2019· article· en· Technology Innovation Management Review· Engineering
machine prediction:candidate · noneconsensus · none
33
citations
venueno affunlabeled
Reflecting on Actions in Living Lab Research
Anna Ståhlbröst, Marita Holst
2017· article· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
32
citations

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