{"id":"W1590500560","doi":"","title":"Sparse broadband acoustic response estimation via a gaussian mixture model with application to m-ary orthogonal signaling","year":2012,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research","keywords":"Computer science; Algorithm; Acoustics; Underwater acoustic communication; Gaussian; Bandwidth (computing); Telecommunications; Underwater; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842041,0.0002645485,0.0002033465,0.000475419,0.000378633,0.0001416111,0.0003194658,0.0001805687,0.0004610607],"category_scores_gemma":[0.000175806,0.0002347119,0.00003380846,0.0005706664,0.00010391,0.0003097323,0.00001465549,0.0003478166,0.0004384092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466669,"about_ca_system_score_gemma":0.00124175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01070311,"about_ca_topic_score_gemma":0.04406,"domain_scores_codex":[0.9976071,0.0001047451,0.0002597573,0.0003639636,0.0005585445,0.001105939],"domain_scores_gemma":[0.9968511,0.0002185637,0.00006561899,0.0003833277,0.0001547239,0.00232669],"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":[0.0003879186,0.00001550194,0.005739678,0.00003253604,0.00001869102,0.00003141687,0.0004614649,0.9694355,0.0166203,0.000005076701,0.0009897155,0.006262273],"study_design_scores_gemma":[0.0001993548,0.0001344807,0.03888929,0.00002635533,0.00006338407,0.00007121873,0.00009114607,0.959631,0.0001391681,0.0001963858,0.000217658,0.000340537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2342508,0.00005683171,0.7638378,0.0004293152,0.00008878931,0.0004701927,0.0003487406,0.000047015,0.0004705004],"genre_scores_gemma":[0.9463303,0.000003610635,0.05177879,0.0009434381,0.0001987323,0.00001252238,0.0003194222,0.00002449578,0.0003886866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7120795,"threshold_uncertainty_score":0.9958847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649547638226325,"score_gpt":0.2376363920983147,"score_spread":0.2211409157160514,"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."}}