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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 5 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
Transition towards Smart Factories
Roberto Rosso, Marcos de Sales Guerra Tsuzuki, Ahmad Barari, Marco Macchi
2022· article· en· International Journal of Computer Integrated Manufacturing· Engineering
distilled prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Smart Manufacturing and Industry 4.0
Ahmad Barari, Marcos de Sales Guerra Tsuzuki
2023· article· en· Applied Sciences· Engineering
distilled prediction:candidate · noneconsensus · none
12
citations
fundno affunlabeled
Benefits, Challenges and Practical Concerns of IoT for Smart Manufacturing
Vivian Ukamaka Ihekoronye, Cosmas Ifeanyi Nwakanma, Goodness Oluchi Anyanwu, Dong‐Seong Kim, Jae‐Min Lee
2021· article· en· 2021 International Conference on Information and Communication Technology Convergence (ICTC)· Engineering
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Advancing towards industry 4.0: A maturity model for smart shop floor control
Adauto Bueno, Moacir Godinho Filho, Moiseis dos Santos Cecconello, Luis Antonio de Santa-Eulália, Rodrigo Goyannes Gusm�ão Caiado, Gilberto Miller Devós Ganga +1 more
2025· article· en· International Journal of Production Economics· Engineering
distilled prediction:candidate · noneconsensus · none
12
citations
afffundaboutunlabeled
A guideline to implement a CPS architecture in an SME
Jean-Rémi Piat, Christophe Danjou, Bruno Agard, Robert Beauchemin
2023· article· en· Production & Manufacturing Research· Engineering
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
A Literature Review on Digital Twins in Warehouses
Marie-Jane Bélanger, Robert Pellerin, Samir Lamouri
2023· review· en· Procedia Computer Science· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
11
citations
affno abstractunlabeled
Industry 4.0: Quo Vadis?
Ajith Abraham, Edward Au, Alécio Pedro Delazari Binotto, Laura García‐Hernández, Vladimı́r Mařı́k, Félix Gómez Mármol +3 more
2019· article· en· Engineering Applications of Artificial Intelligence· Engineering
distilled prediction:candidate · noneconsensus · none
10
citations
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How this was built: Screen · Findings · About