{"id":"W2382855258","doi":"","title":"Active Sonar Beamforming Simulation Flat Based on Matlab GUI","year":2009,"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":"Beamforming; Computer science; Sonar; Marine mammals and sonar; MATLAB; Adaptive beamformer; SIGNAL (programming language); Acoustics; Graphical user interface; Interface (matter); Synthetic aperture sonar; Simulation; Electronic engineering; Artificial intelligence; Telecommunications; Engineering; Physics","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":[0.0003739867,0.0008743006,0.0005126269,0.0005373437,0.0002128232,0.0005267516,0.001211403,0.0004220166,0.0325047],"category_scores_gemma":[0.001177853,0.0003323025,0.0004107935,0.0002460151,0.0001767888,0.0006293182,0.0004703377,0.0006727268,0.007489972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214275,"about_ca_system_score_gemma":0.0003134404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468167,"about_ca_topic_score_gemma":0.0008199692,"domain_scores_codex":[0.9997888,0.00003952742,0.0000241149,0.00003353008,0.00009669254,0.00001739906],"domain_scores_gemma":[0.999461,0.0002166584,0.0000271668,0.00006923828,0.0002029069,0.00002308926],"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":[0.001096246,0.0002964595,0.002709866,0.001171085,0.0002030496,0.0008515902,0.0004850281,0.4843268,0.07380728,0.03763415,0.0722794,0.3251391],"study_design_scores_gemma":[0.0001517045,0.0001265491,0.0005851582,0.00005873518,0.00003835667,0.0002912402,0.00002824837,0.9085024,0.03219301,0.005351215,0.05262707,0.00004629863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005051498,0.00008931992,0.9450654,0.00009677868,0.0000703951,0.0001084364,0.001326778,0.03687446,0.01131693],"genre_scores_gemma":[0.2787969,0.000918114,0.6512047,0.0004893888,0.00009465387,0.002015232,0.006941653,0.009736099,0.04980323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0325047,"threshold_uncertainty_score":0.1087391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765119672533945,"score_gpt":0.268281040989608,"score_spread":0.2506298442642685,"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."}}