{"id":"W4382364959","doi":"10.4050/f-0079-2023-17996","title":"Safety and Product Robustness in the Air Vehicle Design Process","year":2023,"lang":"en","type":"article","venue":"","topic":"Technology Assessment and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Airframe; Engineering; Engineering design process; Systems engineering; Failure mode and effects analysis; Robustness (evolution); Design process; Product design; Computer science; Reliability engineering; Product (mathematics); Work in process; Mechanical engineering; Operations management","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":[0.0002572548,0.00005395343,0.00005181333,0.00006993144,0.00002907464,0.00000890721,0.0001120281,0.0000231803,0.000007111746],"category_scores_gemma":[0.000006188446,0.00003719328,0.000005125122,0.0003693359,0.00001666905,0.00006676411,0.00002403757,0.00007502146,0.00001015469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008522964,"about_ca_system_score_gemma":0.000002929768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002117215,"about_ca_topic_score_gemma":0.00001519708,"domain_scores_codex":[0.9996521,0.00001120773,0.00006635186,0.00008958024,0.00005438234,0.000126408],"domain_scores_gemma":[0.9998466,0.00002260542,0.000004489119,0.0001152083,0.000004514894,0.000006519615],"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":[0.00001657149,0.00004144296,0.004634729,0.0002370035,0.00004250102,0.00004297335,0.0011101,0.9150687,0.0005195364,0.01284494,0.01614606,0.04929542],"study_design_scores_gemma":[0.0009828068,0.00005876414,0.2109552,0.00003476048,0.00002320761,0.000006366826,0.003730427,0.7641425,0.005782508,0.003322606,0.01054509,0.0004157275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778445,0.0001997201,0.09724044,0.008237653,0.0002120018,0.001125829,8.999239e-7,0.0030312,0.01210775],"genre_scores_gemma":[0.9991302,0.00006347583,0.0004007961,0.00003542378,0.00001051242,0.00005267323,0.000001393959,0.000007426047,0.0002980831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2063205,"threshold_uncertainty_score":0.1516698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541000319047363,"score_gpt":0.2368484835934242,"score_spread":0.2214384804029506,"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."}}