{"id":"W2375797533","doi":"","title":"Classification Algorithm of Torpedo Based on Autoregressive Malel","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive model; Computer science; Bispectrum; Algorithm; Pattern recognition (psychology); Filter (signal processing); Echo (communications protocol); Preprocessor; Filter bank; Speech recognition; Artificial intelligence; Statistics; Mathematics; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003852351,0.0006284803,0.000749369,0.001992789,0.0006041348,0.001020275,0.001019392,0.0006299099,0.002167753],"category_scores_gemma":[0.0009909685,0.0002395071,0.0006150877,0.000799757,0.0004569312,0.000893038,0.0004955338,0.0004965064,0.001113292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318188,"about_ca_system_score_gemma":0.0006736199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415946,"about_ca_topic_score_gemma":0.003073351,"domain_scores_codex":[0.9996012,0.00003870416,0.00002238635,0.0001387106,0.0001225563,0.00007648201],"domain_scores_gemma":[0.9997107,0.00005306679,0.00003064474,0.00002759483,0.0001581625,0.00001975641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000240016,0.00004597316,0.003739922,0.0001182426,0.00005637295,0.0002668744,0.0001528657,0.035202,0.02686762,0.006589617,0.005264142,0.9214564],"study_design_scores_gemma":[0.00001858889,0.00007143663,0.00429477,0.00002271177,0.00004817867,0.0003389565,0.0001257832,0.9621142,0.02196519,0.003079851,0.00788131,0.00003909383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03570346,0.0003358318,0.9584097,0.0001455253,0.0001276176,0.0001084119,0.0001189282,0.001526793,0.003523776],"genre_scores_gemma":[0.3825983,0.000522993,0.6060595,0.000157409,0.0001557405,0.0002047302,0.000845562,0.0001808,0.009274836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00415946,"threshold_uncertainty_score":0.008270502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888936357384745,"score_gpt":0.2516122358701192,"score_spread":0.2227228722962717,"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."}}