{"id":"W2021620199","doi":"10.1139/l09-095","title":"Design optimization of floating breakwaters with an interdisciplinary fluid–solid structural problem","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breakwater; Sequential quadratic programming; Hydrostatic equilibrium; Boundary value problem; Stability (learning theory); Port (circuit theory); Optimization problem; Quadratic equation; Quadratic programming; Engineering; Mathematical optimization; Structural engineering; Computer science; Mechanics; Mathematics; Geotechnical engineering; Mathematical analysis; Mechanical engineering; Geometry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257579,0.001266624,0.001434882,0.000926342,0.0005321999,0.001355069,0.0009837179,0.002517567,0.003996473],"category_scores_gemma":[0.002669713,0.0007600771,0.0009928931,0.0007140879,0.001089583,0.00106284,0.001547764,0.001062455,0.0004048377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006980551,"about_ca_system_score_gemma":0.001341204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990626,"about_ca_topic_score_gemma":0.002185874,"domain_scores_codex":[0.9995257,0.0001637307,0.00002183871,0.00009243023,0.0001228875,0.00007353694],"domain_scores_gemma":[0.9989348,0.0007685617,0.00009495537,0.0000329672,0.0001081025,0.00006061445],"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":[0.00001662034,0.00001739234,0.0001318818,0.00004052,0.00001001325,0.00003887169,0.00001871211,0.9905403,0.0006484948,0.002881405,0.0001368704,0.005518983],"study_design_scores_gemma":[0.00001451186,0.00004967961,0.00007450854,0.00000794272,0.000008167838,0.00001169788,0.00002568018,0.9958459,0.0003376052,0.003026601,0.0005929299,0.000004884295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0462038,0.0003553929,0.9455439,0.0003642414,0.00003999227,0.0001318364,0.000102479,0.0001027605,0.007155638],"genre_scores_gemma":[0.6857654,0.0007053433,0.303445,0.0001591342,0.00006635922,0.0007863151,0.0003007324,0.0001195356,0.008652185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003996473,"threshold_uncertainty_score":0.0133695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006839722815307183,"score_gpt":0.1913952910224102,"score_spread":0.184555568207103,"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."}}