{"id":"W2008706260","doi":"10.1061/41171(401)195","title":"Sensitivity of Reliability Index of Bridge Girders to Random Variables and Average Daily Truck Traffic","year":2011,"lang":"en","type":"article","venue":"Structures Congress 2011","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Missouri University of Science and Technology; Missouri Department of Transportation","keywords":"Truck; Reliability (semiconductor); Weigh in motion; Gumbel distribution; Random variable; Girder; Bridge (graph theory); Index (typography); Engineering; Generalized extreme value distribution; Reliability theory; Structural engineering; Sensitivity (control systems); Statistics; Mathematics; Extreme value theory; Reliability engineering; Computer science; Failure rate; Automotive 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":[0.003691967,0.0004613652,0.0003678398,0.001187896,0.0001514985,0.000563879,0.0004264155,0.0005344852,0.0004889055],"category_scores_gemma":[0.01603531,0.0003113541,0.0005894413,0.0007027357,0.0005207808,0.0005340231,0.0004275065,0.0004306228,0.0001141894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007606641,"about_ca_system_score_gemma":0.000254632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922023,"about_ca_topic_score_gemma":0.001695339,"domain_scores_codex":[0.9982859,0.0005728298,0.00008222739,0.0003833176,0.000524022,0.0001516274],"domain_scores_gemma":[0.9856668,0.01046317,0.001428635,0.001069181,0.001247969,0.0001241696],"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":[0.0004021175,0.00006957738,0.097031,0.00008386777,0.0002226166,0.0003605961,0.00011365,0.8634037,0.02317843,0.001030479,0.0001806777,0.0139234],"study_design_scores_gemma":[0.00001770326,0.00090635,0.1726357,0.00003159227,0.0001652018,0.0006165864,0.0001496139,0.7868145,0.03630666,0.001851484,0.0004270773,0.00007747622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817941,0.0001240222,0.01703152,0.00002979896,0.000007556976,0.00002056123,0.0001822897,0.00008558133,0.0007244259],"genre_scores_gemma":[0.9987379,0.00002992606,0.0009719648,0.000004823694,0.000002205954,0.000006462855,0.0001395783,0.000008533516,0.00009854108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003691967,"threshold_uncertainty_score":0.01952523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008955595793950924,"score_gpt":0.203918304230183,"score_spread":0.1949627084362321,"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."}}