{"id":"W4413343936","doi":"10.1016/j.apacoust.2025.111004","title":"Data-based modeling of propeller tip-vortex cavitation noise for realistic acoustic ship signature","year":2025,"lang":"en","type":"article","venue":"Applied Acoustics","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"Ministry of Oceans and Fisheries; Defense Acquisition Program Administration; Sejong University; Korea Institute of Marine Science and Technology promotion; Korea Research Institute for Defense Technology Planning and Advancement","keywords":"Cavitation; Propeller; Vortex; Acoustics; Signature (topology); Noise (video); Marine engineering; Physics; Aerospace engineering; Engineering; Mechanics; Computer science; Mathematics; Geometry; Artificial intelligence","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":[0.0003163552,0.0002258198,0.0002818793,0.0001897542,0.00007082938,0.00003491623,0.0003977556,0.0001709319,0.00001188951],"category_scores_gemma":[0.0002725336,0.0002412927,0.00004110532,0.0003504608,0.00004327748,0.00007305725,0.00005729139,0.0002136981,0.000007564019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398093,"about_ca_system_score_gemma":0.0001604884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006666344,"about_ca_topic_score_gemma":0.00001237576,"domain_scores_codex":[0.9986452,0.000009929796,0.0004777734,0.0003192924,0.0002688208,0.0002789935],"domain_scores_gemma":[0.9984969,0.0004254408,0.00007678199,0.0006684045,0.0002752663,0.0000571311],"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":[0.00004263589,0.00003834324,0.00000409396,0.000934395,0.00005237193,5.040675e-7,0.00008033339,0.8925824,0.09895705,0.002698894,0.003705989,0.0009030469],"study_design_scores_gemma":[0.0006876595,0.00001681561,0.00005776217,0.00006903105,0.0002808726,2.067261e-7,0.0001646526,0.9932977,0.001081385,0.003900585,0.0002154414,0.0002279021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006582641,0.0001073625,0.9867165,0.00003686627,0.0003988505,0.0009330168,0.0008529307,0.0002466719,0.004125131],"genre_scores_gemma":[0.966689,0.00000840571,0.03180452,0.0001163593,0.00009829184,0.0001465739,0.0009707758,0.0000653528,0.0001007115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9601064,"threshold_uncertainty_score":0.9839631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877011101649139,"score_gpt":0.2651873930581723,"score_spread":0.2364172820416809,"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."}}