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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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Competitive and Knowledge Intelligence
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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.

371 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.
371 works in the cohort · of 4,299,418page 3 of 8

Labels cover 1 of 371 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 371 of 371 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
La qualité des systèmes d’information
Isabelle Comyb-Wattiau, Jacky Akoka, Laure Berti‐Équille
2010· article· fr· Ingénierie des systèmes d information· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
When Competitive Intelligence Meets Geospatial Intelligence
Christophe Othenin-Girard, Manon G. Guillemette, Éric Foley, Claude Caron
2015· article· en· International Journal of Business Intelligence Research· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Does Knowledge Management Really Work?
Vikraman Baskaran, R.N.G. Naguib, Aziz Guergachi, R.K. Bali, H. Arochen
2011· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Conspiracy of consensus.
David Healy
2003· article· en· PubMed· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Task Force on Strategic Research Direction
Joseph Loscalzo, Robert S. Balaban, Lance B. Becker, Geoffrey S. Ginsburg, Vladimir Hachinski, John E. Hall +6 more
2002· article· en· Circulation· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
IT Landmarks in Less-Developed Countries: The Chilean Case
Ricardo Baeza‐Yates, David Fuller, José A. Pino
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
A passionate commitment
John A. Nolan
2001· article· en· Competitive Intelligence Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About