{"id":"W4389145753","doi":"10.36910/automash.v2i21.1204","title":"Algorithm for a simulation model for the selection of a rational type of vans on technological routes of the transport and recycling system for recycling of a metallurgical enterprise","year":2023,"lang":"en","type":"article","venue":"СУЧАСНІ ТЕХНОЛОГІЇ В МАШИНОБУДУВАННІ ТА ТРАНСПОРТІ","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Queueing theory; Sorting; Truck; Process (computing); Duration (music); Raw material; Queue; Point (geometry); Engineering; Computer science; Simulation; Operations research; Automotive engineering; Algorithm; Mathematics","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":[0.0006604996,0.0001859959,0.0004613874,0.0002036952,0.0001127183,0.000007994589,0.000202625,0.0001850763,0.000002709532],"category_scores_gemma":[0.0001526417,0.0001298734,0.0003023981,0.0003189562,0.000106902,0.00007006597,0.00002338494,0.0001288896,1.809812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005138429,"about_ca_system_score_gemma":0.00004630609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000693322,"about_ca_topic_score_gemma":0.0000162074,"domain_scores_codex":[0.9986147,0.00002203054,0.0007408953,0.0002277839,0.0001823038,0.0002122366],"domain_scores_gemma":[0.997986,0.001252064,0.0002787722,0.000213957,0.0002399354,0.00002928555],"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":[0.0002895772,0.00006320646,0.0003559231,0.0006792034,0.0002191882,5.88662e-8,0.0004384046,0.9753808,0.01038121,0.006345678,0.00002021095,0.005826548],"study_design_scores_gemma":[0.0008477604,0.0002081183,0.001081913,0.0001913401,0.0001706351,7.011868e-7,0.0002074345,0.983748,0.01215411,0.001120332,0.0001503059,0.0001193777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4941107,0.00009684252,0.5038361,0.00003328954,0.0001957085,0.001305987,0.0003067603,0.00008417269,0.00003049071],"genre_scores_gemma":[0.9906433,0.00004961651,0.008945241,0.000004366305,0.00005362185,0.0001683094,0.00003829548,0.00004017973,0.00005706157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4965326,"threshold_uncertainty_score":0.5296081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180490040263565,"score_gpt":0.2665795937194658,"score_spread":0.2247746933168301,"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."}}