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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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Big Data and Business 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.

1,633 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,633 works in the cohort · of 4,299,418page 31 of 33

Labels cover 10 of 1,633 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 1,633 of 1,633 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
Updated Aims and Scope of Analytics
Carson K. Leung
2025· article· en· Analytics· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2022· article· en· Journal of Physics Conference Series· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Design Debates
Niyousha Raeesinejad, Yousef Mehrdad Bibalan, Mohammad Moshirpour
2023· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
AIIDE-13 Organization
Gita Suthankar
2013· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
Editorial: Lean and Global (May 2017)
Chris McPhee, Stoyan Tanev
2017· editorial· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Dynamic Monetary Accounting
Martin Nemzow
2000· article· en· The Journal of Internet Banking and Commerce· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
SUCCESS OF OPEN INNOVATION EVENTS FOR SOLVERS
BASILE THISSE, CORALIE GAGNÉ, FABIANO ARMELLINI, Sophie Veilleux, Catherine Beaudry
2022· article· en· International Journal of Innovation Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
CRA: An Examiner's Perspective Train for Results!
Douglas Yarwood
2017· article· en· Bridges Conversations in Global Politics and Public Policy· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Business Intelligence: A Primer
John D. Kemp, Benjamin Dietz
2009· article· es· ˜The œopen source business resource· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Corporate Controls in the Digital Era
John Kyriazoglou
2012· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Experience-based analytics
Joanna Ng
2015· article· en· Computer Science and Software Engineering· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Editorial: Insights (June 2017)
Chris McPhee
2017· editorial· en· Technology Innovation Management Review· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
A Manager's Control System Has an Impact on Salespeople
Ashwin W. Joshi, Sheila Randall
2009· article· en· York University Digital Library (York University)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Data Governance Powers Big Data Analytics
James Smith
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Events Centre Tree
tronnes
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Events Centre Tree
tronnes
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About