{"id":"W1595713750","doi":"10.1109/sam.2006.1706179","title":"Multiple Window Bispectrum Estimator","year":2006,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bispectrum; Estimator; Higher-order statistics; Algorithm; Mathematics; Nonparametric statistics; Computer science; Applied mathematics; Signal processing; Statistics; Spectral density; Digital signal processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140724,0.0007648975,0.001100049,0.001124691,0.0002955384,0.0008498415,0.0008055638,0.001176369,0.002787614],"category_scores_gemma":[0.005274515,0.0003315409,0.0005964985,0.0009947963,0.0003405793,0.002501046,0.0007115663,0.00115001,0.001351805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438516,"about_ca_system_score_gemma":0.0006791399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005816602,"about_ca_topic_score_gemma":0.0006416689,"domain_scores_codex":[0.9992782,0.0001314475,0.00005336196,0.0001957518,0.0002932214,0.00004801709],"domain_scores_gemma":[0.9988098,0.0004768218,0.0001765734,0.0001817553,0.000315889,0.00003915269],"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":[0.0004455546,0.0001313811,0.002389789,0.000354765,0.0002452593,0.0001881352,0.00009354262,0.1351449,0.09422569,0.04945561,0.003659702,0.7136656],"study_design_scores_gemma":[0.00003175911,0.00009247821,0.00227301,0.00003556625,0.00005022495,0.0003815934,0.00002387165,0.9493538,0.02532603,0.01595983,0.00642137,0.00005047227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004752879,0.0002908699,0.9941322,0.0000422388,0.000032278,0.00001535339,0.0000571527,0.0002161603,0.000460963],"genre_scores_gemma":[0.1182953,0.0006997035,0.8774475,0.0001041456,0.0001226872,0.0001112988,0.0003564782,0.0001195847,0.002743243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002787614,"threshold_uncertainty_score":0.009325504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006675744527724177,"score_gpt":0.2214054565901289,"score_spread":0.2147297120624047,"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."}}