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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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Lecture notes in business information processing
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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.

198 results · 1 filter active ·
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20082025
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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.
198 works in the cohort · of 4,299,418page 2 of 4

Labels cover 0 of 198 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 198 of 198 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.

affno abstractunlabeled
Digital Economy. Emerging Technologies and Business Innovation
Rim Jallouli, Osmar R. Zai͏̈ane, Mohamed Anis Bach Tobji, Rym Srarfi Tabbane, Anton Nijholt
2017· book· en· Lecture notes in business information processing· Social Sciences
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Value-Chain Discovery from Business Process Models
Anis Boubaker, Dhouha Chérif, Abderrahmane Leshob, Hafedh Mili
2014· book-chapter· en· Lecture notes in business information processing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
E-Tourism Portal: A Case Study in Ontology-Driven Development
Hafedh Mili, Petko Valtchev, Yasmine Charif, László Szathmáry, Nidhal Daghrir, Marjolaine Béland +5 more
2011· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
PACAs: Process-Aware Conversational Agents
Luis Fernando Lins, Glaucia Melo, Toacy Oliveira, Paulo Alencar, Donald Cowan
2022· book-chapter· en· Lecture notes in business information processing· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Human–Software Agent Negotiations: An Experimental Study
Rustam Vahidov, Gregory E. Kersten, Raafat George Saadé
2012· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Principles of Universal Conceptual Modeling
Roman Lukyanenko, Jeffrey Parsons, Veda C. Storey, Binny M. Samuel, Óscar Pastor
2023· book-chapter· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
SymboleoAC: An Access Control Model for Legal Contracts
Sofana Alfuhaid, Amal Ahmed Anda, Daniel Amyot, Marco Roveri
2024· book-chapter· en· Lecture notes in business information processing· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
E-Technologies: Embracing the Internet of Things
Michael Weiß, Umar Ruhi
2017· book· en· Lecture notes in business information processing· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About