{"id":"W3155789586","doi":"10.1109/ieeeconf38699.2020.9389447","title":"Sensitivity analysis of plunger-type wavemakers with water current","year":2020,"lang":"en","type":"article","venue":"Global Oceans 2020: Singapore – U.S. Gulf Coast","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plunger; Sensitivity (control systems); Amplitude; Wedge (geometry); Current (fluid); Control theory (sociology); Channel (broadcasting); Mechanics; Physics; Mathematics; Engineering; Computer science; Electronic engineering; Geometry; Optics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002462715,0.0009657016,0.0006330623,0.000778212,0.0003782147,0.0009145361,0.0006067308,0.0009056777,0.00102661],"category_scores_gemma":[0.007486258,0.0004530952,0.001327207,0.0004137823,0.000522008,0.0009062091,0.0009448089,0.0009278149,0.00009189377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896165,"about_ca_system_score_gemma":0.0005774281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009672363,"about_ca_topic_score_gemma":0.003687497,"domain_scores_codex":[0.9989637,0.0004118533,0.00004735359,0.0002000172,0.0002350429,0.000141977],"domain_scores_gemma":[0.9949461,0.004158171,0.0002186424,0.0002308241,0.0003927285,0.00005370607],"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":[0.00008444037,0.00003997367,0.00366645,0.00006124396,0.00006646289,0.0001048852,0.00003252912,0.9882236,0.004449035,0.0006142646,0.00009613155,0.002560944],"study_design_scores_gemma":[0.00001003444,0.0001577942,0.002862454,0.000009574523,0.00004523105,0.00003342171,0.00004592336,0.990694,0.005112796,0.0008252959,0.0001812751,0.00002228065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719528,0.0002657131,0.1221215,0.0001844551,0.00004772961,0.0001628817,0.0004596222,0.0002802775,0.004525012],"genre_scores_gemma":[0.9966254,0.00004724455,0.002791526,0.00002165891,0.000002754388,0.00003895415,0.0001198517,0.0000164421,0.0003362369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009672363,"threshold_uncertainty_score":0.01923215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330803913491001,"score_gpt":0.3034379045132777,"score_spread":0.2501298653783677,"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."}}