{"id":"W4405385078","doi":"10.23977/jeeem.2024.070308","title":"Feasibility Analysis of Submarine Debye Effect Magnetic Field Detection Based on Fluent","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Submarine; Fluent; Field (mathematics); Magnetic field; Physics; Engineering; Marine engineering; Mechanics; Computational fluid dynamics; Mathematics; Quantum mechanics","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":[0.0002866232,0.0001425117,0.0003092664,0.00132355,0.00001798846,0.0000158181,0.00008751691,0.0001157924,0.000008633121],"category_scores_gemma":[0.00006494932,0.0001219792,0.0001534794,0.001481752,0.00001162092,0.00003667723,0.00001090441,0.0004365996,6.21854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360831,"about_ca_system_score_gemma":0.000004216728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004142807,"about_ca_topic_score_gemma":0.000002415764,"domain_scores_codex":[0.999149,0.00002026088,0.0003255273,0.0001299616,0.0001636587,0.0002115454],"domain_scores_gemma":[0.9996182,0.0001504196,0.00003471073,0.0001257768,0.00002900965,0.00004193085],"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":[0.0002368439,0.00007255083,0.0002644044,0.0005256635,0.001385759,0.0001047274,0.00001018877,0.4635448,0.1722053,0.001826509,0.00007490069,0.3597483],"study_design_scores_gemma":[0.000280121,0.001967511,0.001790688,0.00005076439,0.000731575,0.00001506564,5.579163e-7,0.8480446,0.1465738,0.00007828789,0.0003632422,0.0001038304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664163,0.002308055,0.2302592,0.0001614167,0.0002212408,0.0002303265,7.214567e-7,0.0002506295,0.0001521304],"genre_scores_gemma":[0.9991649,0.0003699501,0.0003886668,0.00001413361,0.00002944347,0.000008604214,9.72427e-7,0.00001488506,0.000008424423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3844998,"threshold_uncertainty_score":0.4974168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002186200737400227,"score_gpt":0.1962566027737171,"score_spread":0.1940704020363169,"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."}}