{"id":"W4403095605","doi":"10.1109/tsmc.2024.3464877","title":"Driving Mode Advisory for Emergency Maneuvering in TransVerse Enabled Connected Vehicular Network","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Transverse plane; Mode (computer interface); Advisory committee; Aeronautics; Computer science; Engineering; Political science; Human–computer interaction; Public administration; Structural engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003129149,0.000616801,0.0003048358,0.0003491793,0.000470727,0.0003956882,0.0006910115,0.000313476,0.001071115],"category_scores_gemma":[0.0008250052,0.000151992,0.0002340285,0.0002334965,0.0002677053,0.0006025002,0.0007931847,0.0003960261,0.000134261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764478,"about_ca_system_score_gemma":0.0006770926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004323382,"about_ca_topic_score_gemma":0.006913329,"domain_scores_codex":[0.9997481,0.00005083299,0.0000125306,0.00005187316,0.00005222489,0.00008457879],"domain_scores_gemma":[0.9997312,0.00007330515,0.00004293058,0.00002952529,0.00008443166,0.00003863238],"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":[0.0006808238,0.0002122051,0.01035437,0.0001449516,0.00006270366,0.0005505575,0.0003000235,0.8151579,0.03929379,0.005601862,0.002521948,0.1251189],"study_design_scores_gemma":[0.000009967458,0.000179565,0.0008202879,0.000006249933,0.00001817493,0.00009061339,0.0001220555,0.9922983,0.003892831,0.001503716,0.001049464,0.00000881686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5218253,0.0004509954,0.4702251,0.0003620817,0.0001255241,0.0001211832,0.0001510182,0.0007953884,0.005943369],"genre_scores_gemma":[0.9921945,0.00005164819,0.007139328,0.00002127769,0.000006328397,0.00001483386,0.00006569897,0.000006535156,0.000499701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004323382,"threshold_uncertainty_score":0.00859648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959403538115928,"score_gpt":0.2159904179059392,"score_spread":0.2063963825247799,"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."}}