{"id":"W2585473327","doi":"10.22360/summersim.2016.icbgm.023","title":"Dynamic Analysis of a Deep Water Marine Riser using Bond Graphs","year":2016,"lang":"en","type":"article","venue":"","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Drilling riser; Structural engineering; Tension (geology); Beam (structure); Vibration; Bending; Planar; Bond graph; Engineering; Compression (physics); Mechanics; Materials science; Computer science; Physics; Mechanical engineering; Acoustics; Drilling; Mathematics; Composite material","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":[0.0001420096,0.0005448114,0.0004225965,0.0003044228,0.0003026382,0.0004858637,0.0006028297,0.0005985082,0.004333621],"category_scores_gemma":[0.0002345675,0.0003836387,0.0004151907,0.0002510599,0.0003097889,0.0004913311,0.0002908283,0.0003751145,0.0006200307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018856,"about_ca_system_score_gemma":0.0004928898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006271888,"about_ca_topic_score_gemma":0.003302518,"domain_scores_codex":[0.9998958,0.00002476506,0.000004084001,0.00002338713,0.00004114637,0.0000108853],"domain_scores_gemma":[0.9999195,0.0000378017,0.00001534153,0.000006942278,0.00001581911,0.000004444634],"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":[0.00001631008,0.00001335653,0.0003823302,0.00002538861,0.0000138152,0.00004583222,0.00003762136,0.9795817,0.009175235,0.005152947,0.0001432446,0.005412129],"study_design_scores_gemma":[0.000003928295,0.00002214509,0.0002057635,0.000002977387,0.000006411149,0.00001144511,0.000008814069,0.9963264,0.001025263,0.001332638,0.001048498,0.000005647732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010573,0.0002664519,0.8809047,0.000118768,0.00002284669,0.00008936459,0.0003968689,0.0005113372,0.01663229],"genre_scores_gemma":[0.9303558,0.0006529176,0.0522409,0.00004650325,0.0000137819,0.0002621683,0.0003902685,0.0001527309,0.01588502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006271888,"threshold_uncertainty_score":0.0144974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008152900693692145,"score_gpt":0.2133357656422264,"score_spread":0.2051828649485343,"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."}}