{"id":"W3090342463","doi":"10.1007/978-981-15-4680-8_12","title":"Multi Objective Design of Ships; A Pareto Procedure","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pareto principle; Computer science; Mathematical optimization; Mathematics","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":[0.002762178,0.002007016,0.00142303,0.001636199,0.0008945956,0.001464094,0.00163122,0.001578599,0.005209855],"category_scores_gemma":[0.003652879,0.001288966,0.001869611,0.00162575,0.001319738,0.001091515,0.002082309,0.001709609,0.0009781393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010682,"about_ca_system_score_gemma":0.001568227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002555363,"about_ca_topic_score_gemma":0.002878997,"domain_scores_codex":[0.9988627,0.0006638888,0.0000389335,0.00008454275,0.0002837398,0.00006620325],"domain_scores_gemma":[0.9991521,0.0005496164,0.00006629218,0.00004461079,0.0001541811,0.00003319796],"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":[0.00002462079,0.00004410598,0.00006189926,0.0001271742,0.00003142079,0.00003459258,0.00005474278,0.9290985,0.000852072,0.03316889,0.000981395,0.03552056],"study_design_scores_gemma":[0.00001497855,0.00008046597,0.00006273316,0.0000443823,0.00001439567,0.00001562805,0.00002491612,0.9663215,0.000424236,0.03056057,0.00242655,0.000009604573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001809112,0.0002351496,0.9915359,0.00004791234,0.0000192668,0.00004988114,0.0000245597,0.00004579398,0.006232437],"genre_scores_gemma":[0.1599126,0.001195469,0.8192888,0.0001625081,0.0000843487,0.0008654374,0.0001618094,0.0002365965,0.0180924],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005209855,"threshold_uncertainty_score":0.01742876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563232433042325,"score_gpt":0.2023782684059313,"score_spread":0.1867459440755081,"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."}}