{"id":"W3163795328","doi":"10.5957/tos-2021-05","title":"A Flexible Riser Digital Twin for Real-Time Monitoring and Asset Management","year":2021,"lang":"en","type":"article","venue":"","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Solver; Finite element method; High fidelity; Computation; Computer science; Bending; Kinematics; Key (lock); Structural engineering; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002717614,0.00006591266,0.0001019032,0.00002087592,0.00002637546,0.00009161172,0.00003584748,0.0000255766,0.0001356884],"category_scores_gemma":[0.000005182893,0.00006018738,0.0000461089,0.00008242149,0.000002840797,0.00007828096,0.00003494401,0.00002382895,0.00001896272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001171787,"about_ca_system_score_gemma":0.0000011164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004442723,"about_ca_topic_score_gemma":5.516818e-7,"domain_scores_codex":[0.999594,0.000002234889,0.0000957217,0.0001171384,0.00006435886,0.000126509],"domain_scores_gemma":[0.9997891,0.00002574107,0.000006108271,0.0001089983,0.0000153568,0.00005469486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004696347,0.0003197649,0.009906083,0.001407071,0.003610807,0.0002033641,0.0002260438,0.01315183,0.0675015,0.03886571,0.02767436,0.8370865],"study_design_scores_gemma":[0.003776978,0.0001852216,0.01399321,0.0004450375,0.0009759286,0.00001522372,0.001674981,0.4077226,0.4619485,0.01746343,0.08948065,0.00231821],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3657944,0.0008548128,0.2641762,0.0002585195,0.0003732884,0.0004858719,0.0001161531,0.001086521,0.3668543],"genre_scores_gemma":[0.9747828,0.0005191002,0.01207699,0.000007377351,0.00009265316,0.00004069385,0.0000311476,0.00002282986,0.01242645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8347683,"threshold_uncertainty_score":0.245437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353816714536782,"score_gpt":0.2357090481781096,"score_spread":0.2221708810327418,"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."}}