{"id":"W4321383489","doi":"10.14722/autosec.2022.23009","title":"Demo: Recovering Autonomous Robotic Vehicles from Physical Attacks","year":2022,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Robot; Mobile robot; Aeronautics; Artificial intelligence; 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":[0.001013983,0.001176539,0.0004686295,0.000570766,0.0004504886,0.0004334463,0.001464322,0.0008787513,0.00195624],"category_scores_gemma":[0.003510042,0.0002840585,0.0003436086,0.000144533,0.001152012,0.001436266,0.001891593,0.00128419,0.000496135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353446,"about_ca_system_score_gemma":0.0008288153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002902759,"about_ca_topic_score_gemma":0.003582159,"domain_scores_codex":[0.9994783,0.0001103094,0.00002564856,0.000134123,0.0001685443,0.00008304634],"domain_scores_gemma":[0.9987759,0.0004337247,0.0001536961,0.0003478233,0.000193361,0.00009547459],"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":[0.0006537508,0.000225651,0.008925247,0.0004936926,0.0001224922,0.0009261761,0.0003833364,0.6498941,0.03489186,0.009149742,0.01489248,0.2794415],"study_design_scores_gemma":[0.00002537986,0.0001475767,0.001321454,0.00002249367,0.00001319503,0.0002234285,0.00007475379,0.9743859,0.01358029,0.006012301,0.004173732,0.00001938682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08865426,0.0006973957,0.8766867,0.0007736278,0.0002100047,0.0002678573,0.0005916364,0.02474433,0.007374187],"genre_scores_gemma":[0.8835558,0.0001536231,0.1120433,0.0002821603,0.00004233214,0.0001016132,0.0006983901,0.0001766221,0.002946079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002902759,"threshold_uncertainty_score":0.006544352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04785094230583954,"score_gpt":0.352950764667663,"score_spread":0.3050998223618235,"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."}}