{"id":"W4412346484","doi":"10.1109/dsn64029.2025.00057","title":"RAVAGE: Robotic Autonomous Vehicles’ Attack Generation Engine","year":2025,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Automotive engineering; Aeronautics; 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":[0.0008112917,0.00113541,0.0004274928,0.0007643339,0.0002184692,0.0007401459,0.00149795,0.0007634058,0.006260773],"category_scores_gemma":[0.002742187,0.0005311,0.000784593,0.0001997293,0.000461476,0.001129863,0.001355187,0.001065864,0.003226854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237789,"about_ca_system_score_gemma":0.0004702642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184047,"about_ca_topic_score_gemma":0.001141203,"domain_scores_codex":[0.999438,0.00007910532,0.00004183365,0.0001197823,0.0002501748,0.00007106119],"domain_scores_gemma":[0.9993406,0.00021523,0.00009126769,0.0001921078,0.0001168407,0.00004389562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001748236,0.0007250168,0.0221984,0.001676201,0.0006080738,0.00171123,0.0007502003,0.3670377,0.09704974,0.02405912,0.1083441,0.3740919],"study_design_scores_gemma":[0.0002296025,0.000701924,0.003750485,0.00006244336,0.0000780936,0.000784191,0.00005884783,0.8628691,0.06414328,0.006000609,0.06121865,0.0001027291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08184912,0.0008000799,0.4951584,0.0002916955,0.0002916436,0.0009169686,0.002437546,0.4010252,0.01722921],"genre_scores_gemma":[0.7155387,0.0005191861,0.2559474,0.0004222646,0.00006231451,0.0006118817,0.006003731,0.007879437,0.01301506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006260773,"threshold_uncertainty_score":0.02094442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233668895773967,"score_gpt":0.2295570886932184,"score_spread":0.2172203997354787,"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."}}