{"id":"W2097629978","doi":"10.1109/cdc.1992.371149","title":"Parameter optimization of a control policy for unreliable manufacturing systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Tandem; Simple (philosophy); Control (management); Perturbation (astronomy); Mathematical optimization; Algorithm; Artificial intelligence; Mathematics; Engineering","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":[0.001462088,0.001175459,0.00114291,0.0006893422,0.0004517122,0.001334319,0.0006821647,0.001540879,0.001940069],"category_scores_gemma":[0.006190789,0.0007525184,0.0004924454,0.000660768,0.001448759,0.001078857,0.001006764,0.001326862,0.0002225723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195458,"about_ca_system_score_gemma":0.0007573203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004956219,"about_ca_topic_score_gemma":0.001667663,"domain_scores_codex":[0.9995362,0.0002170602,0.00001707654,0.00007077207,0.00008373734,0.00007525519],"domain_scores_gemma":[0.9973379,0.001985033,0.0002937013,0.00008655951,0.0002200246,0.00007681454],"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":[0.00002558871,0.000007519753,0.00007890625,0.00001636953,0.00001077841,0.00002398142,0.00001683906,0.9946967,0.0003036101,0.002880462,0.0001337181,0.001805473],"study_design_scores_gemma":[0.000007606995,0.00001409159,0.00003992308,0.000002712373,0.000003454104,0.000003192821,0.000005504588,0.9970988,0.0001391653,0.002567662,0.0001143128,0.000003604829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08026838,0.0005894404,0.9130091,0.0006280431,0.00005778498,0.00006817558,0.00007765132,0.0002166998,0.005084884],"genre_scores_gemma":[0.975837,0.0003175478,0.02109256,0.00004968937,0.00003730268,0.00009899116,0.00004699585,0.00006187099,0.002458002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004956219,"threshold_uncertainty_score":0.009854734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008660156014019196,"score_gpt":0.222820541501114,"score_spread":0.2141603854870948,"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."}}