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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.

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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.

1,633 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.
1,633 works in the cohort · of 4,299,418page 2 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.

venueno affunlabeled
The effect of big data on financial reporting quality
Dheif Allah E’leimat, Mohannad Mohammad Al Ebbini, Laith Abdallah Aryan, Sulieman Ibraheem Shelash Al-Hawary
2023· article· en· International Journal of Data and Network Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
79
citations
affunlabeled
Barriers to the Implementation of AI in Organizations: Findings from a Delphi Study
Mathieu Bérubé, Tanya Giannelia, Grégory Vial
2021· article· en· Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
67
citations
venueno affunlabeled
Big(ger) data as better data in open distance learning
Paul Prinsloo, Elizabeth Archer, Glen Barnes, Yuraisha Chetty, Dion van Zyl
2015· article· en· The International Review of Research in Open and Distributed Learning· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
64
citations
affno abstractunlabeled
Business Process Intelligence
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
63
citations
venueno affunlabeled
Dashboards in Health Care Settings: Protocol for a Scoping Review
Danielle Helminski, Jacob E. Kurlander, Anjana Deep Renji, Jeremy B. Sussman, P. Pfeiffer, Marisa Conte +6 more
2022· review· en· JMIR Research Protocols· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
52
citations
affunlabeled
Human-Computer Interaction Research in the MIS Discipline
Ping Zhang, Izak Benbasat, Jane Carey, Fred D. Davis, Dennis F. Galletta, Diane M. Strong
2002· article· en· D-Scholarship@Pitt (University of Pittsburgh)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
The Digitization of Healthcare
2017· book· en· Palgrave Macmillan UK eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
48
citations
afffundno abstractunlabeled
Big Data Analytics and Business Intelligence in Industry
Shih‐Chia Huang, Suzanne McIntosh, Stanislav Sobolevsky, Patrick C. K. Hung
2017· article· en· Information Systems Frontiers· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
The Six Pillars for Building Big Data Analytics Ecosystems
Shadi Khalifa, Yehia Elshater, Kiran Sundaravarathan, Aparna Krishna Bhat, Patrick Martin, Fahim T. Imam +3 more
2016· review· en· ACM Computing Surveys· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Decision Making: Models, Processes, Techniques
Hamed Taherdoost, Mitra Madanchian
2023· article· en· Cloud Computing and Data Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
39
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

How this was built: Screen · Findings · About