{"id":"W7001133330","doi":"","title":"I02 - Intelligent Optimization of Industrial Operations","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Expert system; Work (physics); Automation; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007508883,0.0009150089,0.001350215,0.0006094408,0.0004546244,0.001802278,0.001073472,0.0009352227,0.0305669],"category_scores_gemma":[0.001936293,0.0003851303,0.0007924964,0.001228516,0.0005293859,0.001146538,0.0007009332,0.001543615,0.00664764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274497,"about_ca_system_score_gemma":0.001493696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006014937,"about_ca_topic_score_gemma":0.006363902,"domain_scores_codex":[0.9995604,0.00009671314,0.00001575021,0.00008415102,0.0001933569,0.00004964442],"domain_scores_gemma":[0.9996064,0.0001317338,0.00002577878,0.00006611544,0.0001367168,0.00003336728],"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":[0.000473627,0.0002221465,0.0007694133,0.0003947265,0.0001323519,0.00005903252,0.00003611429,0.4013755,0.002899182,0.1249136,0.1624548,0.3062695],"study_design_scores_gemma":[0.00008298367,0.0001011296,0.0005696141,0.00006742614,0.00003503798,0.00003884829,0.00001848513,0.8715804,0.003044324,0.05305705,0.0713869,0.00001772934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0137985,0.003581974,0.6724149,0.003337874,0.003590301,0.0002376474,0.001970224,0.001969724,0.2990988],"genre_scores_gemma":[0.3245891,0.003941258,0.4218507,0.001077583,0.001832244,0.0003742765,0.00486959,0.001307736,0.2401574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0305669,"threshold_uncertainty_score":0.1022565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375855891573212,"score_gpt":0.2273037227200419,"score_spread":0.1897181335627207,"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."}}