{"id":"W2419593711","doi":"10.5267/j.ijiec.2016.5.001","title":"Buffer clustering policy for sequential production lines with deterministic processing times","year":2016,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buffer (optical fiber); Cluster analysis; Production (economics); Computer science; Production line; Engineering; Economics; Artificial intelligence; Microeconomics","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":[0.001114079,0.0007104882,0.0006957895,0.0007458222,0.0006200821,0.001293911,0.001697616,0.000721993,0.003823372],"category_scores_gemma":[0.003043093,0.0004753071,0.000430749,0.001106209,0.0006834011,0.001264786,0.0006908617,0.0006582189,0.0003881826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134229,"about_ca_system_score_gemma":0.001565259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163227,"about_ca_topic_score_gemma":0.005661177,"domain_scores_codex":[0.9991659,0.0001693241,0.00004431936,0.0002159911,0.0001910626,0.000213419],"domain_scores_gemma":[0.9986898,0.0005356984,0.000355284,0.0001106225,0.0001979066,0.0001107082],"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":[0.0001511522,0.00005180764,0.000409471,0.00003811763,0.000008578736,0.00006058926,0.00003520147,0.9776025,0.003261603,0.007880155,0.0004820944,0.01001876],"study_design_scores_gemma":[0.00001252689,0.0000791576,0.0002057614,0.000005293669,0.000006997018,0.00002105185,0.00002418791,0.994671,0.001770784,0.002763489,0.0004314576,0.000008281287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1307849,0.0001610793,0.8617633,0.0001686513,0.00003169584,0.0001732219,0.0002034721,0.0006352937,0.006078395],"genre_scores_gemma":[0.9071028,0.0001142331,0.0892759,0.00003366079,0.0000114738,0.0001046792,0.0001253993,0.00007596551,0.003155923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007163227,"threshold_uncertainty_score":0.01548505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223025067243894,"score_gpt":0.2737521965807724,"score_spread":0.251449689856383,"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."}}