{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000145216,0.0006254229,0.000758989,0.0002569158,0.0000164043,0.00001948541,0.0002897986,0.000635518,0.00005333981],"category_scores_gemma":[0.0003595765,0.0006861212,0.0001699305,0.0001413009,0.00003427442,0.00005885959,0.00006798991,0.001211994,0.000008693362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077353,"about_ca_system_score_gemma":0.00006076743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009080123,"about_ca_topic_score_gemma":0.0004093047,"domain_scores_codex":[0.9984266,0.00001064039,0.0004909827,0.0004806605,0.0002399312,0.0003512337],"domain_scores_gemma":[0.9989918,0.0003805135,0.00007587641,0.000391887,0.00005191754,0.0001080444],"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":[0.00001361495,0.000009278997,0.00003229877,0.00114752,0.0001150515,0.00003334851,0.0006015208,0.9944769,0.002236438,0.0004925783,0.00001512366,0.0008263285],"study_design_scores_gemma":[0.0003440782,0.00006583134,0.0001598102,0.0006702179,0.00006166568,0.00001152001,0.000002505321,0.992665,0.001572404,0.002901952,0.0007375255,0.0008074701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000465491,0.002737751,0.988242,0.0000427307,0.0006811404,0.001072193,0.00008288975,0.0007088305,0.005967032],"genre_scores_gemma":[0.990706,0.0001439169,0.008531115,0.00002985729,0.0001653772,0.00003376633,0.00002931936,0.0002561915,0.0001044138],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9902406,"threshold_uncertainty_score":0.999559,"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."}}