{"id":"W1826895608","doi":"10.1139/l11-069","title":"Reliability-based optimization of river bridges using artificial intelligence techniques","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Computer science; Reliability engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001649468,0.000117585,0.000192784,0.0003726363,0.00002404721,0.00001318755,0.0001615611,0.00008029408,0.0001341163],"category_scores_gemma":[0.00007773867,0.0001223907,0.00007619206,0.0001783946,0.00004916471,0.0001412591,0.000003325169,0.0001747175,3.93692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232652,"about_ca_system_score_gemma":0.0001763227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006776743,"about_ca_topic_score_gemma":0.003247643,"domain_scores_codex":[0.9992487,0.000009637617,0.0003840628,0.00006276409,0.00009848214,0.0001963776],"domain_scores_gemma":[0.9994562,0.00002069829,0.00006324242,0.000121093,0.0001258345,0.0002129739],"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":[0.000002657993,0.000002306078,0.0001073109,0.00005806917,0.00001347779,0.00002005949,0.0003341916,0.9963964,0.001612243,0.0002524552,0.00001719828,0.001183691],"study_design_scores_gemma":[0.00002872532,0.00004150314,0.0004475133,0.0001574395,0.00002269629,0.00003161878,0.00002987894,0.9199173,0.07867581,0.0003105224,0.0001817179,0.0001553062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0748742,0.0002122632,0.9239158,0.000005220262,0.0003979704,0.00005227702,0.000007116424,0.00003787308,0.000497272],"genre_scores_gemma":[0.9351566,0.000007472053,0.0647136,0.000006629355,0.00008934594,5.873193e-7,7.458779e-7,0.00002438787,6.334108e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8602824,"threshold_uncertainty_score":0.499095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827345087372916,"score_gpt":0.1993711106239029,"score_spread":0.1810976597501737,"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."}}