{"id":"W3091317156","doi":"10.1155/2020/8859891","title":"Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Education Department of Shaanxi Province","keywords":"Restricted Boltzmann machine; Computer science; MATLAB; Artificial intelligence; Boltzmann machine; Function (biology); Deep learning; Simulation; Machine learning; Algorithm","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":[0.0003245206,0.0006038449,0.0004928321,0.0003379301,0.0003141093,0.0005000765,0.001493897,0.0007181184,0.001914721],"category_scores_gemma":[0.0005868599,0.0004011845,0.0005970189,0.0002550998,0.0002962044,0.0008883046,0.0006742528,0.001022367,0.0004829993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008211225,"about_ca_system_score_gemma":0.001083712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075411,"about_ca_topic_score_gemma":0.0151405,"domain_scores_codex":[0.9998419,0.00002128725,0.000008332955,0.00006151328,0.00003902899,0.00002796134],"domain_scores_gemma":[0.9998676,0.00002782448,0.00001611568,0.00001038991,0.00006614665,0.00001195107],"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":[0.00002856351,0.00003478982,0.001678949,0.00003098193,0.00003439874,0.00004566543,0.00002913865,0.965556,0.001765774,0.003862584,0.0009105555,0.02602249],"study_design_scores_gemma":[9.464673e-7,0.000003008957,0.00009558148,0.000001059895,0.000002148166,0.000003599135,0.000001138991,0.9992029,0.0001349039,0.0004320019,0.0001210487,0.000001701967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0465911,0.0003933758,0.9455673,0.0003659436,0.0001035392,0.00005854554,0.0003255349,0.001086499,0.005508133],"genre_scores_gemma":[0.9365352,0.0003333284,0.05342747,0.000143279,0.0000397794,0.0002638291,0.000660713,0.00008234037,0.008514114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02075411,"threshold_uncertainty_score":0.04126662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029587211714435,"score_gpt":0.2188812311427954,"score_spread":0.208585359025651,"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."}}