{"id":"W2113250278","doi":"10.1002/we.1669","title":"Evaluating the importance of mooring line model fidelity in floating offshore wind turbine simulations","year":2013,"lang":"en","type":"article","venue":"Wind Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Marine engineering; Offshore wind power; Turbine; Submarine pipeline; Mooring; Line (geometry); Fidelity; Engineering; High fidelity; Environmental science; Aeronautics; Aerospace engineering; Telecommunications; Electrical engineering; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002802071,0.0006319408,0.0005681046,0.0004134809,0.0004521242,0.001097734,0.001239869,0.001105463,0.001361975],"category_scores_gemma":[0.01797475,0.0004495943,0.0004654353,0.0004096649,0.0005353464,0.001538072,0.0008800208,0.0009543161,0.0001875689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394144,"about_ca_system_score_gemma":0.0007443705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009804001,"about_ca_topic_score_gemma":0.008029343,"domain_scores_codex":[0.9987966,0.000406324,0.000102314,0.0001053879,0.0004499797,0.0001394417],"domain_scores_gemma":[0.9904277,0.006614239,0.000655397,0.001054803,0.001011701,0.0002361063],"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":[0.0003053306,0.0001604905,0.008585648,0.0001094873,0.00004266914,0.000108412,0.0001063516,0.9748918,0.004553281,0.001147367,0.000224877,0.009764191],"study_design_scores_gemma":[0.0000468807,0.0002687622,0.002188881,0.00003981181,0.00002703592,0.00003740862,0.00006694499,0.9905112,0.005889941,0.0003304791,0.0005751599,0.00001745537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414732,0.0002438602,0.05213822,0.0002363836,0.00005268005,0.000173113,0.0005305338,0.0004839284,0.004668207],"genre_scores_gemma":[0.9851788,0.00008914057,0.01402511,0.00002936753,0.00000530281,0.00004734933,0.0002035929,0.00007945372,0.0003418287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009804001,"threshold_uncertainty_score":0.01949388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281437809477653,"score_gpt":0.280854577985414,"score_spread":0.2380401998906374,"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."}}