{"id":"W4405518999","doi":"10.2316/j.2025.201-0419","title":"INTELLIGENT VEHICLE DRIVING DECISION BASED ON DEEP LEARNING ALGORITHM UNDER STRUCTURED ROAD ENVIRONMENT, 71-83.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Machine learning; Transport engineering; Engineering","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":[0.0003510018,0.0004114643,0.0004656825,0.000342407,0.0003161396,0.0005227134,0.0004418264,0.0004723197,0.001118788],"category_scores_gemma":[0.0007921378,0.0002402229,0.0003245064,0.0002410546,0.0002020306,0.0007363875,0.0002963894,0.0005593267,0.000252987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005833491,"about_ca_system_score_gemma":0.001009526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791907,"about_ca_topic_score_gemma":0.02364315,"domain_scores_codex":[0.9999021,0.00001475792,0.000005360096,0.0000284224,0.00002059003,0.00002872657],"domain_scores_gemma":[0.9997808,0.00007221809,0.00001370498,0.00001013141,0.0001024573,0.00002058983],"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":[0.0002277302,0.0001758762,0.005301593,0.0000526434,0.00005717527,0.00008586594,0.0000424658,0.8037886,0.005467432,0.00316836,0.002463129,0.179169],"study_design_scores_gemma":[0.000001452029,0.000009482731,0.0003032222,0.000001108562,0.000002755976,0.000002673921,0.000003910597,0.9990258,0.0002673047,0.0003287424,0.00005245611,0.000001197447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3930362,0.001229927,0.5931496,0.0007899855,0.0002381387,0.00007273153,0.0002976515,0.0007530306,0.01043269],"genre_scores_gemma":[0.9710774,0.0002051073,0.02447823,0.00004919017,0.00002604226,0.00001822969,0.0002304144,0.00002230049,0.003893033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01791907,"threshold_uncertainty_score":0.03562951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003738467604702968,"score_gpt":0.1883525948273827,"score_spread":0.1846141272226797,"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."}}