{"id":"W2516317707","doi":"10.1061/9780784480137.039","title":"Effect of Climate Change on the Reliability of Offshore Wind Turbine Foundations","year":2016,"lang":"en","type":"article","venue":"Geo-Chicago 2016","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Turbine; Downscaling; Offshore wind power; Serviceability (structure); Environmental science; Reliability (semiconductor); Wave loading; Climate change; Wind speed; Marine engineering; Aerodynamics; Geotechnical engineering; Meteorology; Engineering; Structural engineering; Submarine pipeline; Geology; Aerospace engineering; Physics","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":[0.0003876358,0.0001679758,0.00025113,0.00005725032,0.00004278741,0.000006206557,0.0002065026,0.000117915,0.0001345684],"category_scores_gemma":[0.0002787402,0.00007949532,0.0001148073,0.0001229996,0.0001101764,0.0000587932,0.00004164606,0.0001518783,0.00003104841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000287062,"about_ca_system_score_gemma":0.000006626864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001759186,"about_ca_topic_score_gemma":0.000004656369,"domain_scores_codex":[0.999121,0.0000529683,0.000259787,0.0001516085,0.0001708972,0.0002437248],"domain_scores_gemma":[0.9986141,0.0007143176,0.00004236929,0.0005423752,0.00003750073,0.00004931553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001209572,0.0004333497,0.006078889,0.005225154,0.0007962845,0.00001209685,0.001293428,0.1390621,0.2093266,0.1320021,0.01219372,0.4923667],"study_design_scores_gemma":[0.01096548,0.008512914,0.4247064,0.007036247,0.0008541183,0.00007081938,0.00009504965,0.05043701,0.3475044,0.04439466,0.1014776,0.00394526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992569,0.0001319601,0.001300483,0.001073105,0.0004023165,0.0003795137,0.0001011027,0.0002227511,0.003819797],"genre_scores_gemma":[0.9995359,0.0001861733,0.00006013392,0.00001555518,0.00009205817,0.00002422148,0.000003599551,0.00002303376,0.00005938772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4884214,"threshold_uncertainty_score":0.3241725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008073678333231452,"score_gpt":0.2208477750383498,"score_spread":0.2127740967051184,"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."}}