{"id":"W4405884813","doi":"10.23977/jnca.2024.090104","title":"Design of a ship fault diagnosis system based on a radial basis neural network","year":2024,"lang":"en","type":"article","venue":"Journal of Network Computing and Applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Fault (geology); Computer science; Basis (linear algebra); Radial basis function; Artificial intelligence; Marine engineering; Geology; Engineering; Seismology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003879989,0.0001285781,0.0003006458,0.00006912639,0.0001052595,0.00005317631,0.0001108766,0.00005537994,0.000001415332],"category_scores_gemma":[0.00000728923,0.0001112475,0.0001018867,0.0003538332,0.00001975892,0.00003795551,0.000008672652,0.0002307676,0.000001766653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688551,"about_ca_system_score_gemma":0.00001723562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000154589,"about_ca_topic_score_gemma":3.894131e-7,"domain_scores_codex":[0.9989794,0.00007667971,0.0004779031,0.0001107424,0.0001496514,0.0002055473],"domain_scores_gemma":[0.9987871,0.0008207459,0.000126319,0.0001246566,0.00005368617,0.00008748585],"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":[0.00001543665,0.000009533275,0.0003324362,0.0001192011,0.00005263439,0.000006747633,0.0000381544,0.9662337,0.00003127376,0.0007173841,0.001611746,0.03083175],"study_design_scores_gemma":[0.0002193461,0.00007884677,0.000252064,0.0006576834,0.00006431315,0.00005106689,0.00002944377,0.9951615,0.00001179003,0.0001350424,0.003242446,0.00009649324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008433568,0.005877161,0.9843985,0.00008473881,0.0005651758,0.0002678115,0.000003326844,0.000134375,0.0002353422],"genre_scores_gemma":[0.9926713,0.000067423,0.004542192,0.00002985579,0.002638098,0.0000200504,0.000001109998,0.00002553363,0.000004515664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9842377,"threshold_uncertainty_score":0.453654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445350789719752,"score_gpt":0.2355015059057195,"score_spread":0.221047998008522,"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."}}