{"id":"W3198885926","doi":"10.1007/978-3-030-85902-2_52","title":"A Hybrid Architecture for a Reconfigurable Cellular Remanufacturing System","year":2021,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Remanufacturing; Reconfigurability; Scheduling (production processes); Architecture; Computer science; Product (mathematics); Manufacturing engineering; Reliability engineering; Distributed computing; Engineering; Operations management; Telecommunications; Mathematics","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":[0.00006808565,0.0003179683,0.0002010289,0.0002873805,0.0003805475,0.0006348544,0.0008974334,0.0004738794,0.00524788],"category_scores_gemma":[0.00006703667,0.0001284269,0.0002502392,0.0002495014,0.0001517771,0.000397966,0.0003562931,0.0002212674,0.001201773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623877,"about_ca_system_score_gemma":0.0002395772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966661,"about_ca_topic_score_gemma":0.003238705,"domain_scores_codex":[0.9999113,0.00001432963,0.000004420436,0.00002067258,0.00002574303,0.00002349957],"domain_scores_gemma":[0.999951,0.000007628158,0.000004568559,0.00001421214,0.00001660662,0.000006026939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006307457,0.0001484517,0.001020599,0.0002571707,0.0001457723,0.000761934,0.0001493261,0.2114192,0.4374934,0.03160641,0.009598438,0.3067686],"study_design_scores_gemma":[0.00006010398,0.000660121,0.001448177,0.00003121206,0.0001273234,0.0006909344,0.00007363089,0.8625821,0.08705949,0.007568071,0.0396375,0.00006139952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2468332,0.002006665,0.6723375,0.0005326101,0.0003654325,0.0001347462,0.0002952704,0.007294702,0.07019987],"genre_scores_gemma":[0.8969451,0.0003312736,0.07754865,0.0001751279,0.00005921307,0.00005955002,0.0001800566,0.0000696854,0.02463129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00524788,"threshold_uncertainty_score":0.01755595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00619345604275633,"score_gpt":0.1995365199402837,"score_spread":0.1933430638975274,"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."}}