{"id":"W2098280085","doi":"10.1145/2593069.2602976","title":"Safety Evaluation of Automotive Electronics Using Virtual Prototypes","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Dependability; Automotive electronics; Automotive industry; Electronics; Automotive engineering; Computer science; Functional safety; Reliability engineering; Manufacturing engineering; Engineering; Embedded system; Electrical 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":[0.001531208,0.0007775112,0.0003303205,0.001023842,0.0002719712,0.0007404199,0.001018168,0.0007835727,0.002452777],"category_scores_gemma":[0.005863579,0.0002564577,0.0004169263,0.0002780328,0.0006546935,0.0007491072,0.0008599939,0.0002924856,0.0003044809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430062,"about_ca_system_score_gemma":0.0002384994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004160094,"about_ca_topic_score_gemma":0.0003174368,"domain_scores_codex":[0.9985874,0.0005647425,0.00006746142,0.0001133657,0.0005381415,0.0001288428],"domain_scores_gemma":[0.995615,0.001897451,0.0004096153,0.0006337304,0.00124828,0.0001959817],"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":[0.007043531,0.002945754,0.02141383,0.001077124,0.0002380911,0.001173722,0.0018887,0.4066749,0.2882277,0.005184513,0.002245885,0.2618863],"study_design_scores_gemma":[0.0003879672,0.02495696,0.02604182,0.000127798,0.0002746457,0.0009164858,0.001121174,0.6823881,0.2531851,0.004173177,0.006296818,0.0001299323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703441,0.0002165627,0.0259166,0.00003831682,0.00006085336,0.00008538766,0.00007585219,0.0003661634,0.00289622],"genre_scores_gemma":[0.9932258,0.00006103646,0.005896678,0.000006568386,0.000006019511,0.00002906558,0.00009088268,0.00002526844,0.0006586176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002452777,"threshold_uncertainty_score":0.008205414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569247173246839,"score_gpt":0.3091718003874681,"score_spread":0.2734793286549997,"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."}}