{"id":"W4405489873","doi":"10.1109/iccspa61559.2024.10794275","title":"Warped Fourth Order Cumulant Beamforming for Estimating DOA from Non-Uniform Linear Arrays of DIFAR Sonobuoys","year":2024,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Cumulant; Beamforming; Higher-order statistics; Computer science; Applied mathematics; Algorithm; Mathematical optimization; Mathematics; Statistics; Signal processing; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005293278,0.001206854,0.0005279107,0.0008713703,0.0003674844,0.0004750172,0.0006633754,0.0007461997,0.001707745],"category_scores_gemma":[0.002624622,0.0003777294,0.0005047591,0.001261556,0.0004244539,0.0006785661,0.0006105318,0.0008307952,0.0007886664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577456,"about_ca_system_score_gemma":0.001195532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004331121,"about_ca_topic_score_gemma":0.007229816,"domain_scores_codex":[0.9996802,0.00008739327,0.00001548408,0.00004241543,0.0001529149,0.00002169581],"domain_scores_gemma":[0.9994386,0.000287211,0.00006885902,0.00005917637,0.0001225781,0.0000235871],"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":[0.0001442998,0.0000531745,0.0009041343,0.0002675332,0.00008021235,0.0001607015,0.0001421145,0.5672124,0.05359827,0.02199156,0.003777654,0.3516679],"study_design_scores_gemma":[0.000005227539,0.00002117519,0.0002456661,0.00001145359,0.000008582927,0.00004101795,0.000008084041,0.9903176,0.004933645,0.00243764,0.001956967,0.00001302763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001752263,0.0001093862,0.9975205,0.00003021948,0.00001931787,0.00001391543,0.00003476696,0.0001474706,0.0003722539],"genre_scores_gemma":[0.05636242,0.0004658316,0.9417111,0.00005382199,0.00006872333,0.00008787376,0.0002465454,0.00009610742,0.0009075955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004331121,"threshold_uncertainty_score":0.008611798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462673755137152,"score_gpt":0.2902964338402652,"score_spread":0.2556696962888936,"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."}}