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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.

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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
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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 1 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.

affunlabeled
Conceptualizing Digital Twins
Romina Eramo, Francis Bordeleau, Benoît Combemale, Mark van den Brand, Manuel Wimmer, Andreas Wortmann
2021· article· en· IEEE Software· Engineering
distilled prediction:candidate · noneconsensus · none
122
citations
venueno affunlabeled
Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling
Murad Salim Attiany, Sami Awwad Al-kharabsheh, lafie Saleh Al-Makhariz, Mohd Ahmad Abed-Qader, Sulieman Ibraheem Shelash Al-Hawary, Anber Abraheem Shlash Mohammad +1 more
2022· article· en· Uncertain Supply Chain Management· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
110
citations
affunlabeled
Ontologies for Industry 4.0
Veera Ragavan, Alaa Khamis, Sandro Rama Fiorini, Joel Luís Carbonera, Alberto Olivares‐Alarcos, Maki K. Habib +3 more
2019· article· en· The Knowledge Engineering Review· Engineering
distilled prediction:candidate · noneconsensus · none
92
citations
afffundunlabeled
Human-centred AI in industry 5.0: a systematic review
Mario Passalacqua, Robert Pellerin, Florian Magnani, Philippe Doyon-Poulin, Laurène Del-Aguila, Jared Boasen +1 more
2024· review· en· International Journal of Production Research· Engineering
distilled prediction:candidate · research_integrityconsensus · none
90
citations
affno abstractunlabeled
Digital twin and its applications: A survey
Rui Zhang, Fang Wang, Jun Cai, Yan Wang, Hongfei Guo, Jingsha Zheng
2022· article· en· The International Journal of Advanced Manufacturing Technology· Engineering
distilled prediction:candidate · noneconsensus · none
87
citations
affunlabeled
Business Intelligence in Industry 4.0: State of the art and research opportunities
Fanny-Ève Bordeleau, Elaine Mosconi, Luis Antonio de Santa-Eulália
2018· 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+sts+open_scienceconsensus · none
71
citations
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How this was built: Screen · Findings · About