{"id":"W4310898117","doi":"10.18280/jesa.550512","title":"Reference Architecture for CIM the Bi-Level Architecture for Efficient Manufacturing BLAEM","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Computer-integrated manufacturing; Manufacturing engineering; Computer science; Cover (algebra); Layer (electronics); Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007017686,0.0003015176,0.0003043959,0.0002306804,0.001299466,0.0002570178,0.0006070924,0.00006503052,0.0001065156],"category_scores_gemma":[0.0001452273,0.0002195784,0.0002330802,0.0002320438,0.00005768165,0.00004914399,0.0001041165,0.0007541503,0.000007511174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002190168,"about_ca_system_score_gemma":0.00006369878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003546998,"about_ca_topic_score_gemma":0.00000598204,"domain_scores_codex":[0.9981169,0.0001454687,0.0005157489,0.0002477153,0.0004399052,0.0005343062],"domain_scores_gemma":[0.9988269,0.0004254293,0.0001934037,0.0003084988,0.0001002792,0.0001454403],"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":[0.00002449822,0.00001877337,0.000003990342,0.0001200455,0.00008555891,0.000007531534,0.001124963,0.8224306,0.0002130183,0.0001375042,0.00123296,0.1746005],"study_design_scores_gemma":[0.001188354,0.0002384596,0.004094893,0.0001285563,0.00009640594,0.001327637,0.0005588945,0.9583036,0.001873734,0.003141143,0.02855673,0.0004915773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09745219,0.00108444,0.8973647,0.0006000851,0.001345055,0.000859937,0.0002919302,0.0005457936,0.0004558303],"genre_scores_gemma":[0.6895135,0.00005911758,0.3075384,0.0003443608,0.0007877686,0.000414597,0.00005328826,0.0002308054,0.001058156],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5920613,"threshold_uncertainty_score":0.9994575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711755738143649,"score_gpt":0.2459544518749671,"score_spread":0.2188368944935306,"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."}}