{"id":"W2035097950","doi":"10.1080/00207540412331282024","title":"Implementing global factory schedules in the face of stochastic disruptions","year":2005,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vale (Canada); PricewaterhouseCoopers (Canada)","funders":"Intel Corporation; National Science Foundation","keywords":"Factory (object-oriented programming); Face (sociological concept); Computer science; Operations management; Business; Operations research; Engineering; Manufacturing 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186996,0.00005387473,0.00007766223,0.0002866292,0.00004974894,0.00004810571,0.0003678659,0.00002705663,0.00006632028],"category_scores_gemma":[0.000492932,0.00004206227,0.00004646888,0.0003274153,0.00005691843,0.0002368569,0.00003319298,0.0003257154,0.000009030742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802006,"about_ca_system_score_gemma":0.0000559355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009325289,"about_ca_topic_score_gemma":0.00002923053,"domain_scores_codex":[0.9984609,0.00009183394,0.0003764766,0.00007233917,0.0008306825,0.0001677061],"domain_scores_gemma":[0.9989861,0.00008449332,0.00007879348,0.00009101906,0.0007305272,0.00002905497],"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":[0.00002347882,0.0001003358,0.001538047,0.000009036231,0.00006953215,0.000003484202,0.0009972784,0.9690578,0.0007843014,0.001258503,0.0003320414,0.02582617],"study_design_scores_gemma":[0.004842113,0.000458265,0.09470922,0.0009171827,0.00007663589,0.001282078,0.05867278,0.795371,0.02125587,0.007028257,0.0145362,0.000850405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8584943,0.000584667,0.1341851,0.005095875,0.001071699,0.0001337113,0.00001349666,0.00001822474,0.0004029335],"genre_scores_gemma":[0.9908533,0.00005791302,0.008322021,0.00000810004,0.0007180654,0.000003697274,0.000003001466,0.000005808821,0.00002814051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1736868,"threshold_uncertainty_score":0.171525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680261338510062,"score_gpt":0.4058154806756964,"score_spread":0.3377893468246902,"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."}}