{"id":"W4385730966","doi":"10.1109/dsn-s58398.2023.00058","title":"Beyond Detection: Securing Robotic Vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Robot; Computer security; Artificial intelligence","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":[0.000730321,0.0009322233,0.0005292764,0.0004997134,0.0004703153,0.001257267,0.001699008,0.001527427,0.001136905],"category_scores_gemma":[0.002571423,0.0003198168,0.0004561769,0.0002390515,0.002174843,0.003036279,0.001772029,0.001724365,0.0004158689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076834,"about_ca_system_score_gemma":0.0009655852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948367,"about_ca_topic_score_gemma":0.001439471,"domain_scores_codex":[0.9988574,0.000175783,0.00004405347,0.000295239,0.0004791548,0.0001484256],"domain_scores_gemma":[0.998543,0.000519975,0.000284584,0.0002445274,0.0003031945,0.0001046913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002293916,0.0002316037,0.003620388,0.0005418676,0.00008603962,0.0005712793,0.0006140135,0.3630914,0.04680168,0.1896327,0.009361341,0.3852183],"study_design_scores_gemma":[0.00004015617,0.0003819099,0.00111669,0.0001124877,0.0000438505,0.0004309736,0.0001977827,0.871487,0.02194801,0.08134242,0.02283582,0.00006285567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01907385,0.001094555,0.9711421,0.0009825178,0.000151643,0.00006394478,0.00003517639,0.001116985,0.006339188],"genre_scores_gemma":[0.8997325,0.001159295,0.09321733,0.0004771814,0.0001876942,0.00006901882,0.0001034022,0.00008725346,0.00496634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002948367,"threshold_uncertainty_score":0.005862415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007117624538805633,"score_gpt":0.1941671005522332,"score_spread":0.1870494760134276,"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."}}