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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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Digital Transformation in Industry
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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
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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.

948 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.
948 works in the cohort · of 4,299,418page 7 of 19

Labels cover 6 of 948 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 948 of 948 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Run time dynamic digital twins and dynamic digital twins networks
Alexander Vodyaho, Radhakrishnan Delhibabu, Dmitry I. Ignatov, Nataly Zhukova
2025· article· en· Future Generation Computer Systems· Engineering
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
7
citations
afffundunlabeled
Digital Twin Model Selection for Feature Accuracy
Hong Chen, T.D. Todd, Dongmei Zhao, George Karakostas
2023· article· en· IEEE Internet of Things Journal· Engineering
distilled prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Toward Autonomic, Software-Intensive Digital Twin Systems
Luis Rivera, Miguel Jiménez, Norha M. Villegas, Gabriel Tamura, Hausi Müller
2021· article· en· IEEE Software· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
7
citations
affunlabeled
Squirrel Cage Induction Motors Accurate Modelling for Digital Twin Applications
Adamou Amadou Adamou, Chakib Alaoui, Mouhamadou Moustapha Diop, A. Skorek
2024· article· en· Modelling—International Open Access Journal of Modelling in Engineering Science· Engineering
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · scholarly_communication
6
citations
affunlabeled
Introduction to the Minitrack on Making Digital Transformation Real
Elaine Mosconi, Sven Packmohr, Luis Antonio de Santa-Eulália
2019· article· en· Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences· Engineering
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
6
citations
affno abstractunlabeled
Infonomics of Autonomous Digital Twins
István Dávid, Dominik Bork
2024· book-chapter· en· Lecture notes in computer science· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affunlabeled
Modeling 4.0: Conceptual Modeling in a Digital Era
Mohammad Jabbari, Michael Rosemann
2023· article· en· Communications of the Association for Information Systems· Engineering
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Future of Digital Supply Chain Management
Muhammad Shujaat Mubarik, Sharfuddin Ahmed Khan
2024· book-chapter· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
6
citations
affunlabeled
Towards the Augmentation of Digital Twin Performance
Quentin Charrier, Nisar Hakam, Khaled Benfriha, Vincent Meyrueis, Cyril Liotard, Abdel‐Hakim Bouzid +1 more
2023· article· en· Sensors· Engineering
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Human-Centered AI for Industry 5.0 (HUMAI5.0)
Mario Passalacqua, Garrick Cabour, Robert Pellerin, Pierre‐Majorique Léger, Philippe Doyon-Poulin
2024· book-chapter· it· Engineering
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · research_integrity+insufficient_payload
6
citations
affvenueunlabeled
TEACHING NETWORK TECHNOLOGIES THAT SUPPORT INDUSTRY 4.0
Ishwar Singh, Nafia Al-Mutawaly, Tom Wanyama
2015· article· en· Proceedings of the Canadian Engineering Education Association (CEEA)· Engineering
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
IoT‐Assisted Metaverse Services
Yue Han, Cyril Leung, Dong In Kim
2023· other· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
5
citations

How this was built: Screen · Findings · About