{"id":"W2979260401","doi":"10.3390/jmse7100342","title":"Prediction of Seabed Scour Induced by Full-Scale Darrieus-Type Tidal Current Turbine","year":2019,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi Malaysia; Tianjin University; Universiti Malaya; Science Fund for Creative Research Groups; Dalian University of Technology; Queen's University; University of Oxford; National Natural Science Foundation of China; Natural Science Foundation of Tianjin City; Queen's University Belfast","keywords":"Marine engineering; Turbine; Current (fluid); Closure (psychology); Turbulence; Seabed; Geology; Tidal power; Computer simulation; Scale (ratio); Full scale; Scale model; Geotechnical engineering; Engineering; Mechanics; Simulation; Structural engineering; Aerospace engineering; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172094,0.00007675026,0.0001378424,0.0000774034,0.00004031007,0.0000118683,0.0001846199,0.00003152,0.0002918589],"category_scores_gemma":[0.00003676675,0.00006200399,0.00002079557,0.0003549892,0.0000968642,0.000522984,0.00008498633,0.000176834,0.00000687422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003593682,"about_ca_system_score_gemma":0.00003757535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009048354,"about_ca_topic_score_gemma":0.000001596041,"domain_scores_codex":[0.9990724,0.000004570344,0.0002317505,0.0001205472,0.000407303,0.0001634526],"domain_scores_gemma":[0.9996676,0.0000133868,0.0000967884,0.00007398303,0.0000435656,0.0001046844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000350409,0.00004201142,0.1183646,0.00003354337,0.00000587234,0.000001167462,0.0001387095,0.004827621,0.8707041,0.000004721634,0.0001183375,0.0057243],"study_design_scores_gemma":[0.001368158,0.001606731,0.8776282,0.0001326559,0.00005630625,0.0001138653,0.00008202002,0.02499248,0.08650374,0.0000795568,0.007152755,0.0002835146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988214,0.00007682508,0.0001395252,0.00007813751,0.0004463224,0.00004657347,0.000001448543,0.0000072803,0.000382461],"genre_scores_gemma":[0.9995115,0.00009091433,0.0003156638,0.00001393173,0.00003397614,3.605878e-7,9.516826e-7,0.000003895327,0.00002883432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7842003,"threshold_uncertainty_score":0.3195651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007231608495901116,"score_gpt":0.2019710393626648,"score_spread":0.1947394308667637,"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."}}