{"id":"W7124943031","doi":"10.1109/iccca66364.2025.11325199","title":"Multi-Objective Optimization and Cyber-Physical Integration for Sustainable Manufacturing in Industry 5.0","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Resilience (materials science); Manufacturing; Carbon footprint; Computer-integrated manufacturing; Digital manufacturing; Industry 4.0; Bridging (networking); Reinforcement learning; Sustainable development","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653221,0.0007498451,0.0006547736,0.0004499138,0.000451393,0.001443578,0.0008193284,0.001168831,0.002793449],"category_scores_gemma":[0.001726484,0.0003596386,0.0009797609,0.0004034679,0.001064398,0.0009942187,0.001947188,0.00156505,0.0002449347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215405,"about_ca_system_score_gemma":0.001725773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002255285,"about_ca_topic_score_gemma":0.002144229,"domain_scores_codex":[0.9993516,0.0003354993,0.00002063521,0.00008939352,0.0001417074,0.00006125691],"domain_scores_gemma":[0.9994298,0.0003190014,0.00008627658,0.00004755176,0.00007122399,0.00004615349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001876954,0.00003953787,0.0004574547,0.0001073787,0.00005374191,0.00007652513,0.00006428674,0.8785809,0.00106971,0.1008106,0.0006673391,0.01805382],"study_design_scores_gemma":[0.000007167637,0.00003989537,0.00020231,0.0000229923,0.00001151586,0.00001630245,0.00003276175,0.9528311,0.0002925763,0.04344871,0.003085443,0.000009107435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0182596,0.0006897323,0.9675606,0.000964334,0.00007092892,0.00005885101,0.00003460111,0.0001149033,0.01224647],"genre_scores_gemma":[0.6960675,0.0009008704,0.2953218,0.0002985313,0.00007217703,0.0002622434,0.0001004428,0.00007156312,0.006904977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002793449,"threshold_uncertainty_score":0.009345055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096567664384001,"score_gpt":0.2538994255746324,"score_spread":0.2429337489307924,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}