{"id":"W4412927357","doi":"10.18280/ijsse.150604","title":"Securing Smart Vehicles: A Bilateral TARA Approach for ISO 21434 and ASPICE for CS Compliance","year":2025,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Computer security; Psychology; Computer science; Transport engineering; Engineering; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003713632,0.00021561,0.0003488008,0.0002793334,0.00005180487,0.0000869611,0.0002565649,0.0001076018,0.000001367767],"category_scores_gemma":[0.00008696528,0.0002310957,0.0001171776,0.00009637006,0.0000249689,0.0002829393,0.00004930636,0.0002443205,2.090504e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467378,"about_ca_system_score_gemma":0.00002440598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004150354,"about_ca_topic_score_gemma":8.921475e-7,"domain_scores_codex":[0.9988526,0.000007206758,0.0005845025,0.0001652168,0.0001576672,0.0002328407],"domain_scores_gemma":[0.9992777,0.0002471511,0.00008680667,0.00009558129,0.0002077088,0.00008512488],"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":[0.0004384221,0.00007058067,0.0009510808,0.003247394,0.001547017,0.00001588176,0.002349808,0.9542732,0.006808937,0.02030695,0.0004102065,0.009580575],"study_design_scores_gemma":[0.001690826,0.00004943932,0.001907751,0.0006053728,0.00004351962,0.0001401599,0.00009912589,0.9512184,0.0009489164,0.0003756646,0.04265968,0.0002610943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05548057,0.00298411,0.9383864,0.0003264273,0.001949932,0.0003999199,0.00007835437,0.000123355,0.0002708707],"genre_scores_gemma":[0.9719464,0.0003055204,0.0272346,0.00004494542,0.0003557366,0.00002963149,0.00001407117,0.00003578677,0.0000333355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9164658,"threshold_uncertainty_score":0.9423811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027327173387823,"score_gpt":0.2332270309205627,"score_spread":0.2229537591866844,"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."}}