{"id":"W2063287639","doi":"10.1115/omae2004-51430","title":"Optimal Design and Portfolio Risk Management for Groups of Structures","year":2004,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Portfolio; Optimal design; Parametric statistics; Dependency (UML); Risk management; Mathematical optimization; Naval architecture; Reliability engineering; Risk analysis (engineering); Engineering; Mathematics; Artificial intelligence; Machine learning; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00117572,0.00009140155,0.0001724108,0.0001298684,0.00005916888,0.00004336811,0.0002431539,0.00004043855,0.00006438045],"category_scores_gemma":[0.0003617346,0.00005770009,0.00004975922,0.0001764897,0.00006768249,0.00007896264,0.00005645904,0.00003653428,0.000004077639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001277157,"about_ca_system_score_gemma":0.00001745058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009418592,"about_ca_topic_score_gemma":6.389518e-7,"domain_scores_codex":[0.9989268,0.00002425287,0.0003149384,0.0002526629,0.0003367924,0.0001445627],"domain_scores_gemma":[0.9990982,0.0004218862,0.00009415478,0.0002468738,0.00007761871,0.00006129825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004665783,0.00002047761,0.0001030662,0.00001275196,0.00003015362,0.000003096591,0.00008875792,0.6876193,0.00004075612,0.2992849,0.002310724,0.01043937],"study_design_scores_gemma":[0.001247872,0.0002657976,0.00624672,0.00001246227,0.00005809528,0.00001110328,0.0003519498,0.02791132,0.001546075,0.9606172,0.001534917,0.0001964944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01941167,0.0001333123,0.9788085,0.00003448869,0.0001015213,0.0003636906,0.000006123279,0.00002766143,0.001113003],"genre_scores_gemma":[0.4770873,0.00002234875,0.5225617,0.0000142325,0.00001314273,0.000009997442,4.015505e-7,0.000004503922,0.0002862696],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6613322,"threshold_uncertainty_score":0.2352941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05346384093401048,"score_gpt":0.3063670171587597,"score_spread":0.2529031762247493,"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."}}