{"id":"W6939831664","doi":"10.60692/ng0gb-z8125","title":"Performance Enhancement of Underwater Target Tracking by Fusing Data of Array of Global Positioning System Sonobuoys","year":2009,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Global Positioning System; Computation; Range (aeronautics); Artificial neural network; Sensor fusion; Sonar; Tracking (education); Underwater","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004582622,0.0004395204,0.0003506968,0.0002946687,0.0001756097,0.0003464207,0.0003263057,0.0004099917,0.0005815934],"category_scores_gemma":[0.001241799,0.000134344,0.0002117537,0.0002319802,0.0001130531,0.0004222113,0.000370657,0.0003116392,0.0001774806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715537,"about_ca_system_score_gemma":0.0002310293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956438,"about_ca_topic_score_gemma":0.002278648,"domain_scores_codex":[0.9997718,0.00003409886,0.00001453294,0.00005463979,0.00009786883,0.00002710299],"domain_scores_gemma":[0.9996972,0.0001068437,0.00004287776,0.00002874409,0.0001106322,0.00001371609],"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":[0.000887287,0.0001625378,0.01503952,0.0002654744,0.0001518313,0.0002682655,0.0003169281,0.4762473,0.1306336,0.001292086,0.0008309754,0.3739041],"study_design_scores_gemma":[0.000007335971,0.0002062716,0.003411885,0.00001074776,0.00002163664,0.00006053874,0.00002254399,0.9802373,0.01550285,0.0001362031,0.0003746301,0.000008109469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.475131,0.0006010366,0.5173156,0.0001898266,0.0001420167,0.00004417522,0.0000707705,0.001111295,0.005394313],"genre_scores_gemma":[0.9817099,0.0001062386,0.01744991,0.00002009643,0.00001056278,0.00001564476,0.00005153766,0.000008833769,0.0006273281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002956438,"threshold_uncertainty_score":0.005878508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117197678435972,"score_gpt":0.2119793301188186,"score_spread":0.1808073533344589,"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."}}