{"id":"W2039306732","doi":"10.1115/omae2009-79450","title":"Design Synthesis of a Wave Energy Converter","year":2009,"lang":"en","type":"article","venue":"Volume 4: Ocean Engineering; Ocean Renewable Energy; Ocean Space Utilization, Parts A and B","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dynamic Systems Analysis (Canada); University of Victoria","funders":"","keywords":"Marine engineering; Hull; Sea state; Mooring; Shore; Wave energy converter; Inertia; Marine energy; Energy transformation; Controller (irrigation); Nonlinear system; Energy (signal processing); Engineering; Computer science; Geology; Renewable energy; Physics; Oceanography; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002996301,0.0007715742,0.0008912887,0.0005556379,0.0001524383,0.00013132,0.0003055425,0.0003675497,0.00006044126],"category_scores_gemma":[0.00009067222,0.0007890236,0.0001850011,0.0008062785,0.00009675731,0.000424184,0.00005041998,0.0001418807,0.000003493616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051738,"about_ca_system_score_gemma":0.00007379333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002740658,"about_ca_topic_score_gemma":0.00003173657,"domain_scores_codex":[0.9970762,0.00008516151,0.0008464264,0.0006472996,0.0004671355,0.0008777828],"domain_scores_gemma":[0.9983383,0.0001619941,0.0001727273,0.000686159,0.0001977179,0.00044311],"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":[0.00003807813,0.0000960083,0.001546781,0.000218681,0.0001984874,0.00003998325,0.0003290272,0.9177026,0.0008714733,0.005358694,0.07244202,0.001158176],"study_design_scores_gemma":[0.000673385,0.0002124721,0.0007985361,0.0003378757,0.0001420641,0.00008154079,0.0001478133,0.8848485,0.03547725,0.0003544462,0.07581829,0.001107804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0681331,0.006438203,0.9164356,0.0002631705,0.001453778,0.000402778,0.00009147874,0.002186761,0.004595148],"genre_scores_gemma":[0.9926925,0.0009689008,0.001176275,0.0001097154,0.0003482797,0.000004337834,0.00007894776,0.0001784051,0.004442615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245594,"threshold_uncertainty_score":0.999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137747451850614,"score_gpt":0.1775272725467816,"score_spread":0.1637525273617202,"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."}}