{"id":"W2062987972","doi":"10.1080/15320370108500209","title":"Structure of a Simulation Model for a Manufacturing System Coordinated by Production Authorization Cards","year":2001,"lang":"en","type":"article","venue":"Journal of Design and Manufacturing Automation","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Technical University of Nova Scotia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Production (economics); Subroutine; Authorization; Variety (cybernetics); Process (computing); Control (management); Discrete event simulation; Manufacturing engineering; Industrial engineering; Distributed computing; Simulation; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000285817,0.0001408592,0.000229522,0.0002367997,0.00007969084,0.00004411097,0.00005923188,0.0001175441,0.000002098478],"category_scores_gemma":[0.0000424748,0.0001312789,0.00005074774,0.00007032448,0.00001144677,0.0003785239,0.000005211622,0.0001038479,1.524505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139206,"about_ca_system_score_gemma":0.00001898203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001411847,"about_ca_topic_score_gemma":2.509476e-7,"domain_scores_codex":[0.9990524,0.00003886929,0.0004870963,0.0001097379,0.0001882234,0.0001236438],"domain_scores_gemma":[0.9993347,0.0000604706,0.0003200399,0.00007801172,0.0001516265,0.00005517663],"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":[0.00005198184,0.00000865697,0.000005684736,0.0002384288,0.00004474841,4.845009e-7,0.0003545881,0.9759285,0.01464304,0.00001409491,0.00007802557,0.008631761],"study_design_scores_gemma":[0.0004013782,0.00004324889,0.00007290969,0.0001048907,0.00005189889,0.00003218707,0.00007137447,0.7315166,0.2674829,0.0001168623,0.00001552515,0.00009017157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3074336,0.00008573125,0.6918566,0.00001968438,0.0002687144,0.0002209841,0.000005623998,0.00010428,0.000004784715],"genre_scores_gemma":[0.9190441,0.00003574746,0.08074692,0.000002960716,0.00009127581,0.000003448656,0.00001721326,0.00002578032,0.00003250488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6116105,"threshold_uncertainty_score":0.5353397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363648195522226,"score_gpt":0.2315941751478137,"score_spread":0.2179576931925915,"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."}}