{"id":"W2094772634","doi":"10.1007/s00773-011-0119-0","title":"Multi-fidelity optimization of a high-speed foil-assisted semi-planing catamaran for low wake","year":2011,"lang":"en","type":"article","venue":"Journal of Marine Science and Technology","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Wake; Hull; Marine engineering; Computational fluid dynamics; Reynolds-averaged Navier–Stokes equations; Potential flow; Flow (mathematics); Engineering design process; Engineering; Naval architecture; Aerospace engineering; Simulation; Mechanics; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003555993,0.0005808798,0.0007133483,0.000308232,0.0005917859,0.000717418,0.0007228919,0.001314993,0.00302126],"category_scores_gemma":[0.0007120951,0.0004831354,0.0004343685,0.0002088032,0.0004112492,0.0003810492,0.0006540904,0.0005091349,0.000271971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003339451,"about_ca_system_score_gemma":0.001033815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006669339,"about_ca_topic_score_gemma":0.005596213,"domain_scores_codex":[0.9999027,0.00003043882,0.000003624155,0.00001296977,0.00002620634,0.00002410365],"domain_scores_gemma":[0.9997005,0.0001380558,0.0000347491,0.00002345217,0.00006391514,0.00003924976],"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":[0.00004801048,0.00001928913,0.0002677968,0.0000163073,0.000009302083,0.00004234821,0.00001254167,0.9954191,0.001207041,0.0003036524,0.0001518642,0.002502823],"study_design_scores_gemma":[0.000007676371,0.000026968,0.00009028546,0.000001337414,0.000002154879,0.000004803737,0.000005723204,0.9995388,0.000191317,0.0000418243,0.00008704149,0.000002102111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6188127,0.0003640024,0.3540863,0.0004306978,0.0001892909,0.0001711277,0.0002293526,0.0006359892,0.02508043],"genre_scores_gemma":[0.9763089,0.00003457048,0.02141568,0.00003088389,0.00001100649,0.00006938624,0.00006405733,0.00003790901,0.002027636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006669339,"threshold_uncertainty_score":0.01326102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491401932761832,"score_gpt":0.2248898387616716,"score_spread":0.2099758194340533,"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."}}