{"id":"W1481577689","doi":"10.1007/978-3-540-37372-8_7","title":"Neural Networks for Reliability-Based Optimal Design","year":2007,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability (semiconductor); Computer science; Artificial neural network; Reliability engineering; Function (biology); Optimal design; Systems design; Space (punctuation); Robot; Engineering; Artificial intelligence; Machine learning; Software 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":[0.0005213659,0.001110692,0.000838239,0.0004279889,0.0001722413,0.0007751664,0.0009983658,0.001020932,0.005201963],"category_scores_gemma":[0.001584875,0.0004539737,0.0003948072,0.0007829604,0.0005623129,0.0009927498,0.000574813,0.00186941,0.001267434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006308345,"about_ca_system_score_gemma":0.0003700104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980611,"about_ca_topic_score_gemma":0.00272057,"domain_scores_codex":[0.999827,0.00004496664,0.000009372009,0.00003001944,0.00007849871,0.00001013167],"domain_scores_gemma":[0.9996877,0.0001983151,0.00001712648,0.00002968793,0.00006168336,0.000005487097],"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":[0.0000382561,0.00002801215,0.0001226582,0.0003672517,0.00007170694,0.00004807661,0.00004356149,0.5369548,0.001941941,0.1949141,0.01462503,0.2508446],"study_design_scores_gemma":[0.000009139261,0.00001358605,0.0001034982,0.00007566413,0.00001749012,0.00003013301,0.000005070007,0.8422548,0.0009382392,0.1410034,0.01553691,0.00001204742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001137324,0.01114829,0.9704325,0.0004499674,0.0002583233,0.00001897446,0.00007681219,0.0002497309,0.01622804],"genre_scores_gemma":[0.2390351,0.03219143,0.6557779,0.0006301873,0.001250355,0.0004676605,0.0005920496,0.0004516158,0.06960363],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005201963,"threshold_uncertainty_score":0.01740229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003419028772211,"score_gpt":0.3359028461932594,"score_spread":0.2355609433160384,"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."}}