{"id":"W2589696949","doi":"10.1061/jtepbs.0000037","title":"Safety Evaluation and Adjustment of Superelevation Design Guides for Horizontal Curves Based on Reliability Analysis","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Geometric design; Reliability (semiconductor); Design speed; Engineering; Margin (machine learning); Reliability engineering; Operating speed; Simulation; Transport engineering; Computer science; Civil engineering; Power (physics)","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":[0.009334992,0.0001405143,0.0005408475,0.0003782698,0.00009471049,0.00006081853,0.0002825236,0.00007273236,0.00001152874],"category_scores_gemma":[0.003924789,0.0001053077,0.0002294174,0.0002365624,0.00003430497,0.0003198141,0.000002276979,0.0000818585,3.372721e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008500594,"about_ca_system_score_gemma":0.0001140952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001507364,"about_ca_topic_score_gemma":0.000003721346,"domain_scores_codex":[0.9969798,0.0001116906,0.001392233,0.0002073508,0.001187566,0.0001212964],"domain_scores_gemma":[0.9959494,0.001257415,0.0009980617,0.0004079116,0.001300095,0.00008705258],"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":[0.0001368658,0.00004100582,0.002547102,0.0001747777,0.0001272517,6.863739e-7,0.00009463122,0.9950978,0.0003282966,0.0004186385,0.0002715104,0.0007614209],"study_design_scores_gemma":[0.0007559295,0.000314796,0.1691799,0.0003917378,0.0006070041,0.000001274706,0.00004359037,0.8279363,0.0002661491,0.0001066133,0.0002933292,0.0001033452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0380302,0.0007547714,0.9595819,0.0001611988,0.0007809941,0.0006028095,0.00006868827,0.00001040851,0.000009060324],"genre_scores_gemma":[0.9869862,0.00006276123,0.01277425,0.000004841078,0.00009705946,0.00003232167,0.00001830252,0.00001004596,0.00001428156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.948956,"threshold_uncertainty_score":0.4698623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060006313538832,"score_gpt":0.3475165402233338,"score_spread":0.2415159088694506,"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."}}