{"id":"W2043182103","doi":"10.2523/iptc-16747-ms","title":"Response Analysis of Pipeline Subjected to Active Fault","year":2013,"lang":"en","type":"article","venue":"International Petroleum Technology Conference","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"China University of Petroleum, Beijing","keywords":"Pipeline (software); Pipeline transport; Finite element method; Fault (geology); Structural engineering; Computer science; Code (set theory); Engineering; Geology; Mechanical engineering; Seismology","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":[0.00006228902,0.0001435845,0.0002573857,0.001392268,0.0000166656,0.00002203762,0.0004811917,0.0001829142,0.0004063402],"category_scores_gemma":[0.0002923625,0.0001410391,0.00007686289,0.0008857776,0.0000632235,0.00007642323,0.00006878719,0.0002443067,0.00004455158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007534926,"about_ca_system_score_gemma":0.00001724868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006127735,"about_ca_topic_score_gemma":0.00003797065,"domain_scores_codex":[0.9991665,0.00001242748,0.0002638764,0.0001881536,0.0001812965,0.000187747],"domain_scores_gemma":[0.9992706,0.00009338268,0.00003862696,0.0002681037,0.0002730607,0.00005618689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001284817,0.00004095857,0.0009336625,0.000008581374,0.001330565,0.000006568089,0.00009211852,0.4783619,0.4910075,0.01254484,0.0009390982,0.01460575],"study_design_scores_gemma":[0.0004967769,0.000139215,0.1186452,0.00003925993,0.0001748462,0.00001272058,0.0002337212,0.7782685,0.08864605,0.004912954,0.007963569,0.0004671814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887706,0.0000159538,0.1076996,0.001981295,0.00018105,0.00006618093,0.00003966061,0.0005557259,0.001754526],"genre_scores_gemma":[0.9979385,0.000007855087,0.001547405,0.00003938198,0.00001172137,0.00004954011,0.0000177661,0.00001260509,0.0003752279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4023614,"threshold_uncertainty_score":0.5751406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00622386246219804,"score_gpt":0.2236459123219629,"score_spread":0.2174220498597649,"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."}}