{"id":"W3189303430","doi":"10.4043/31328-ms","title":"Structural Digital Twin of FPSO for Monitoring the Hull and Topsides Based on Inspection Data and Load Measurement","year":2021,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Hull; Finite element method; Software deployment; Asset management; Asset (computer security); Fidelity; Condition monitoring; Computer science; Engineering; Marine engineering; Reliability engineering; Systems engineering; Structural engineering; Software engineering; Computer security; Telecommunications; Electrical 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":[0.0001327072,0.000138881,0.0001744564,0.00007727771,0.0000865933,0.00004225164,0.000258742,0.0001362278,0.000001675842],"category_scores_gemma":[0.0002809531,0.0001117016,0.00001297943,0.0001402456,0.0001647713,0.0001071159,0.0001366752,0.0002036954,1.59767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008752978,"about_ca_system_score_gemma":0.00006876278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009860455,"about_ca_topic_score_gemma":0.00002036987,"domain_scores_codex":[0.9992018,0.000009342407,0.0001847829,0.0002549697,0.0001734574,0.00017559],"domain_scores_gemma":[0.9991056,0.00007822159,0.00004224537,0.0005389981,0.0002063222,0.00002861992],"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":[0.0000758256,0.00001709164,0.1099782,0.0006285969,0.00008901387,0.000009726356,0.0003003853,0.0001454727,0.02512647,0.006104703,0.0003369628,0.8571875],"study_design_scores_gemma":[0.001124022,0.000542296,0.2085885,0.0009138039,0.00008199486,0.00008625187,0.001274841,0.1325079,0.6278023,0.02429849,0.002103654,0.0006759884],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956709,0.0007884966,0.001610354,0.0006005333,0.0003077621,0.0002605495,0.00004898235,0.0005690617,0.0001433419],"genre_scores_gemma":[0.9956798,0.00007840225,0.004128865,0.000005762372,0.00005463225,0.00002857212,0.000006978489,0.00001415787,0.000002825391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8565115,"threshold_uncertainty_score":0.4555061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06630997888119798,"score_gpt":0.2940367080331749,"score_spread":0.2277267291519769,"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."}}