{"id":"W2497539652","doi":"10.5957/jsr.2016.60.2.61","title":"Escort Tug Performance Prediction Using Computational Fluid Dynamics","year":2016,"lang":"en","type":"article","venue":"Journal of Ship Research","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computational fluid dynamics; Towing; Hull; Thrust; Range (aeronautics); Mechanics; Flow (mathematics); Scale (ratio); Marine engineering; Simulation; Engineering; Aerospace engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00176793,0.00007867902,0.0001389424,0.0002760036,0.000091408,0.0000419798,0.0001968714,0.00006695194,0.00005238352],"category_scores_gemma":[0.0001249917,0.00005673477,0.00006019543,0.0002342421,0.0000868444,0.0003817314,0.00003697188,0.0003709649,0.00001126946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007014081,"about_ca_system_score_gemma":0.0001129558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005504689,"about_ca_topic_score_gemma":0.00000857886,"domain_scores_codex":[0.9985209,0.00006796678,0.000352258,0.00008881955,0.000699478,0.0002705504],"domain_scores_gemma":[0.9990577,0.0002010145,0.00004575069,0.0001275826,0.0004512701,0.0001167614],"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":[0.0002460707,0.0001672062,0.2181783,0.0003937627,0.0001864254,0.00006433029,0.0004084133,0.6883686,0.0378118,0.001802721,0.001845006,0.05052745],"study_design_scores_gemma":[0.0003555848,0.000126989,0.07093927,0.0001275905,0.000005921806,0.0001100249,0.00004035986,0.9259325,0.0004045651,0.001687536,0.0001995461,0.00007007406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799832,0.00006871653,0.01858802,0.0001596677,0.0004805425,0.00007026493,0.00001879149,0.00002328061,0.0006075706],"genre_scores_gemma":[0.9985914,0.0001451147,0.0009484951,0.000004031283,0.0002343955,0.000001203249,0.000002333617,0.00001880446,0.00005419884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.237564,"threshold_uncertainty_score":0.2313577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06296324486476419,"score_gpt":0.3235857309084723,"score_spread":0.2606224860437081,"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."}}