{"id":"W1848410351","doi":"10.1109/icassp.1982.1171470","title":"Generalized Burg algorithm for beamforming in correlated multipath field","year":2005,"lang":"en","type":"article","venue":"","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Algorithm; Toeplitz matrix; Beamforming; Multipath propagation; Estimator; Mathematics; Sonar; Computer science; Gaussian noise; Cyclostationary process; Telecommunications; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002695025,0.00008822289,0.000117981,0.0001281547,0.00007265359,0.0000455962,0.0001582468,0.00008147428,0.002787127],"category_scores_gemma":[0.00004266213,0.00006948633,0.00003704123,0.0001481083,0.00001863798,0.000165784,0.00001060594,0.000130186,0.0001461106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008764749,"about_ca_system_score_gemma":0.00003689955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004096641,"about_ca_topic_score_gemma":0.006517421,"domain_scores_codex":[0.9990326,0.00002209021,0.0001921463,0.0001868208,0.0001754552,0.0003908805],"domain_scores_gemma":[0.9994785,0.0002661671,0.0000198136,0.0001055379,0.00003423726,0.00009574131],"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":[0.0000351355,0.00002425651,0.01876412,0.000006903828,0.000009640524,0.000008290727,0.0002015636,0.07406489,0.000190285,0.000006479778,0.001165636,0.9055228],"study_design_scores_gemma":[0.0007999593,0.00008717258,0.001318051,0.000005284176,0.000002830511,0.000004806326,0.00004634858,0.9879773,0.002010986,0.0001479827,0.007488801,0.0001104391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1282164,0.000135911,0.8628988,0.0006938006,0.0002238695,0.0006173625,0.00005627857,0.00008063852,0.007076937],"genre_scores_gemma":[0.5865859,0.00004061461,0.4075132,0.0005785608,0.0001619657,0.000005583318,0.0001236823,0.000004879379,0.004985556],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9139125,"threshold_uncertainty_score":0.9981245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494686238698294,"score_gpt":0.2731658670855989,"score_spread":0.2482190046986159,"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."}}