{"id":"W4394687223","doi":"10.4271/2024-01-2643","title":"STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation","year":2024,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automation; Computer science; Reliability engineering; Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000910023,0.0001361813,0.000248521,0.0003296374,0.00005056003,0.0001032416,0.0002036877,0.00008655949,0.00002281209],"category_scores_gemma":[0.0003255136,0.000121093,0.0001137873,0.000214912,0.00006456164,0.001818454,0.00005192423,0.0005017263,0.000001331076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363414,"about_ca_system_score_gemma":0.0000514672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003823914,"about_ca_topic_score_gemma":0.0006074223,"domain_scores_codex":[0.9988511,0.00003832321,0.0005479695,0.0002050111,0.0002163919,0.0001412642],"domain_scores_gemma":[0.9990155,0.0003405174,0.0003076094,0.0001123772,0.0001771911,0.00004678917],"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":[0.0001244476,0.0001765231,0.03370371,0.000425364,0.0009467978,0.000005213693,0.0007526259,0.7337832,0.000607594,0.002385,0.0001753802,0.2269141],"study_design_scores_gemma":[0.0004615205,0.00003769224,0.01284025,0.0002137009,0.0002979513,0.00004723268,0.0001842367,0.8879514,0.00006398549,0.0221075,0.07559703,0.0001974612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7467386,0.01634891,0.2344195,0.001376689,0.0007946052,0.0001427365,0.00003010027,0.00008648868,0.00006247294],"genre_scores_gemma":[0.9862593,0.005366264,0.00820053,0.00001339452,0.00009622115,0.00001544261,0.00001648232,0.000009957501,0.00002239056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2395208,"threshold_uncertainty_score":0.493803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411406248540891,"score_gpt":0.3590177384635749,"score_spread":0.334903675978166,"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."}}