{"id":"W4302569287","doi":"10.56094/jss.v53i3.108","title":"How Safe is Safe Enough? Acceptable Safety Criteria From an Engineering and Legal Perspective","year":2017,"lang":"en","type":"article","venue":"Journal of System Safety","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Risk analysis (engineering); Product liability; Product (mathematics); Business; Liability; Reputation; Context (archaeology); Incentive; Automotive industry; Compromise; Computer security; Engineering; Computer science; Finance; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000904852,0.0005867935,0.00118369,0.0002915545,0.0003940473,0.0009291059,0.0009675147,0.0003087641,0.00007423008],"category_scores_gemma":[0.0001455791,0.0005728579,0.0002681228,0.0001184684,0.00006606228,0.002695839,0.0001479721,0.0006798333,0.00001985541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257912,"about_ca_system_score_gemma":0.0001009434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002324807,"about_ca_topic_score_gemma":0.00002522586,"domain_scores_codex":[0.9972062,0.00007648043,0.001161145,0.0004081294,0.0005459946,0.0006020198],"domain_scores_gemma":[0.997287,0.0001527478,0.0006181062,0.001100167,0.0003780553,0.0004639026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007221668,0.0007794975,0.009887855,0.0141526,0.01940547,0.006151967,0.05742041,0.5005993,0.206347,0.1139479,0.01416472,0.04992166],"study_design_scores_gemma":[0.008830547,0.001155696,0.1182981,0.006114412,0.0007539378,0.004772335,0.01736752,0.3816094,0.01023467,0.000103908,0.4470975,0.003661941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5271038,0.02430717,0.3355209,0.008493031,0.04085501,0.003213257,0.002061729,0.00248524,0.05595988],"genre_scores_gemma":[0.9894579,0.0002042568,0.007769954,0.00002163792,0.002049083,0.000008541931,0.000007139764,0.0001560113,0.0003254973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4623541,"threshold_uncertainty_score":0.9996723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009753921011038802,"score_gpt":0.2343686107911817,"score_spread":0.2246146897801429,"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."}}