{"id":"W2979674497","doi":"10.1109/qrs-c.2019.00017","title":"Security Vulnerability Metrics for Connected Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer security; Autopilot; Software; Vulnerability (computing); Software security assurance; Software development; Engineering; Security service; Information security","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":[0.001917077,0.001028737,0.000385351,0.009603414,0.0004646125,0.0009008024,0.0005186709,0.0006857292,0.0009364702],"category_scores_gemma":[0.01110185,0.0001809313,0.0006448421,0.003404588,0.0005637796,0.001666579,0.001231929,0.0004302508,0.0001554339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219471,"about_ca_system_score_gemma":0.0006770135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756366,"about_ca_topic_score_gemma":0.002804665,"domain_scores_codex":[0.9975879,0.0005468137,0.0002770292,0.0002601937,0.001178473,0.0001494761],"domain_scores_gemma":[0.9920142,0.002824641,0.001956817,0.0006412916,0.002226879,0.0003361775],"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":[0.0003182441,0.000411639,0.1956219,0.0007592738,0.0005138062,0.0005255585,0.001425156,0.4051056,0.02835559,0.02939145,0.006077015,0.3314947],"study_design_scores_gemma":[0.00002787241,0.001431748,0.1313351,0.000197545,0.0001973364,0.001063334,0.001045013,0.8037745,0.01725839,0.03154601,0.01194991,0.000173242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7326174,0.00205566,0.2514891,0.0003220075,0.00009040035,0.000595569,0.002526997,0.001853069,0.008449947],"genre_scores_gemma":[0.9438242,0.0002896475,0.05345863,0.00001822723,0.00001071649,0.0002151452,0.001412474,0.00006231244,0.0007087847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009603414,"threshold_uncertainty_score":0.01013863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256217570293022,"score_gpt":0.3027522454864915,"score_spread":0.2801900697835613,"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."}}