{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009827553,0.0006188187,0.0005942361,0.0004023533,0.0003084798,0.0006465427,0.0007957098,0.0007533391,0.0007591889],"category_scores_gemma":[0.002754265,0.0005230572,0.0006207754,0.0006776009,0.0005623171,0.0007265069,0.0007459654,0.00101895,0.0004799135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095406,"about_ca_system_score_gemma":0.0009011127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009826088,"about_ca_topic_score_gemma":0.007181617,"domain_scores_codex":[0.9996506,0.0001238073,0.00001468265,0.00005292699,0.0001176965,0.00004026818],"domain_scores_gemma":[0.9992232,0.0004883742,0.00007798769,0.00005784411,0.0001321339,0.00002042966],"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":[0.00008893503,0.00002944096,0.000524805,0.00003292744,0.00003411604,0.00004101287,0.00009349877,0.9295733,0.003748814,0.01067771,0.0004517344,0.05470377],"study_design_scores_gemma":[0.000001994099,0.000006645384,0.00006335767,0.000001157654,0.0000019185,0.000005165013,0.00000246204,0.9986506,0.0002603597,0.000896938,0.0001055396,0.000003936731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01463027,0.00008840041,0.9844546,0.00009693592,0.00001271402,0.00001569273,0.00002882383,0.0002807096,0.0003917471],"genre_scores_gemma":[0.6209199,0.0006274804,0.371714,0.0001151973,0.0001034161,0.0001502257,0.0003688112,0.0001391328,0.005861911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009826088,"threshold_uncertainty_score":0.01953781,"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."}}