{"id":"W4200366202","doi":"10.1109/iros51168.2021.9636741","title":"On Fault Classification in Connected Autonomous Vehicles Using Supervised Machine Learning","year":2021,"lang":"en","type":"article","venue":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadratic classifier; Artificial intelligence; Support vector machine; Machine learning; Classifier (UML); Computer science; Naive Bayes classifier; Margin classifier; Platoon; Discriminant; Bayes classifier; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002631083,0.0002926497,0.0003725996,0.0002927246,0.0001287935,0.0001565092,0.0002423309,0.0002798301,0.0003724401],"category_scores_gemma":[0.00009066591,0.0002961,0.00007073623,0.0002125175,0.00007263946,0.0001254701,0.00004602403,0.0006642563,0.00008861173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135416,"about_ca_system_score_gemma":0.00008040797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001597403,"about_ca_topic_score_gemma":0.000111259,"domain_scores_codex":[0.9982024,0.0001319173,0.0006124268,0.0004707711,0.0002833779,0.0002991264],"domain_scores_gemma":[0.9992087,0.0001428277,0.0001112824,0.0002496356,0.0001991784,0.0000883007],"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":[0.0001127665,0.0002619215,0.007822223,0.0001309002,0.0002634453,0.0001921135,0.0009272228,0.6638559,0.09234012,0.2129954,0.0001462093,0.02095179],"study_design_scores_gemma":[0.0004105535,0.00006910379,0.001700858,0.000333532,0.000012106,0.00004120888,0.0007261402,0.9876813,0.007318029,0.0004412487,0.000957922,0.000308058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692709,0.000588852,0.01990105,0.0005488234,0.001854415,0.0003259752,0.00005210593,0.0002850779,0.007172797],"genre_scores_gemma":[0.9979777,0.0007494708,0.0001296819,0.00006223464,0.00009385857,0.00003852512,0.0001222255,0.00003591182,0.0007903658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3238253,"threshold_uncertainty_score":0.9999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06005271555710401,"score_gpt":0.2761365916842959,"score_spread":0.2160838761271919,"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."}}