{"id":"W4306677770","doi":"10.18280/ijsse.120403","title":"Cost and Risk Prediction in Road Transportation of Hazmat by ANFIS Trained with PSO, FA, HBBO and ICA","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptive neuro fuzzy inference system; Particle swarm optimization; Computer science; Artificial neural network; Imperialist competitive algorithm; Fuzzy logic; Fuzzy inference system; Artificial intelligence; Machine learning; Data mining; Fuzzy control system; Multi-swarm optimization","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":[0.0003367805,0.0004941082,0.0003342295,0.00041058,0.0002663298,0.0004423612,0.0003440295,0.0005371578,0.0005384935],"category_scores_gemma":[0.0009032208,0.0001896337,0.0004083159,0.0001891023,0.0001915814,0.0004337332,0.0001974413,0.0003775764,0.0000588236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172823,"about_ca_system_score_gemma":0.0004223704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844869,"about_ca_topic_score_gemma":0.01057089,"domain_scores_codex":[0.9998889,0.00002366935,0.000008802247,0.00002689917,0.0000352897,0.00001641532],"domain_scores_gemma":[0.9997771,0.0001135967,0.0000393063,0.000009662481,0.00004981654,0.00001049418],"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":[0.00003411215,0.00002117858,0.001748468,0.00002039212,0.00001632476,0.00003739545,0.00002068573,0.9859504,0.0008565247,0.0006852063,0.000131724,0.01047751],"study_design_scores_gemma":[0.000001062166,0.000009269586,0.0003326347,0.0000012347,0.000002787336,0.000003794064,0.000003850851,0.9992889,0.0001983729,0.0001244442,0.0000323862,0.000001273672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5560394,0.0004396844,0.436823,0.0002707494,0.00005930659,0.00005237762,0.0001272191,0.0003312721,0.005856921],"genre_scores_gemma":[0.9894394,0.00005393877,0.009620193,0.0000078107,0.000005700279,0.00001538557,0.00003916584,0.000006052564,0.0008124171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844869,"threshold_uncertainty_score":0.03668261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003048121586696963,"score_gpt":0.1803463766649555,"score_spread":0.1772982550782585,"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."}}