{"id":"W2113509911","doi":"10.1109/icassp.2012.6288674","title":"Correlogram for undersampled data: Bias and variance analysis","year":2012,"lang":"en","type":"article","venue":"","topic":"Direction-of-Arrival Estimation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Correlogram; Estimator; Variance (accounting); Mathematics; Statistics; Minimum-variance unbiased estimator; Computer science; Bias of an estimator; Algorithm","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":[0.002917771,0.0006272609,0.000932991,0.001512015,0.0003977504,0.0007815784,0.0006893171,0.0008368862,0.000958201],"category_scores_gemma":[0.02651595,0.0003742117,0.0003740905,0.001141006,0.0006774896,0.001389607,0.0006250869,0.0009247366,0.0004075951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006061202,"about_ca_system_score_gemma":0.0008285492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455576,"about_ca_topic_score_gemma":0.001498658,"domain_scores_codex":[0.9982463,0.0004440726,0.0000609941,0.0002120901,0.0009646261,0.00007188191],"domain_scores_gemma":[0.9889204,0.008290378,0.0007815296,0.0007609628,0.001177268,0.00006957525],"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":[0.0004775038,0.0001468179,0.01444107,0.0007564765,0.0004138365,0.001194692,0.0004283778,0.2723812,0.09313307,0.09074617,0.003679889,0.5222009],"study_design_scores_gemma":[0.00001573602,0.00004213428,0.00369039,0.00006750695,0.00005960603,0.0006424732,0.0000331301,0.9535108,0.02675576,0.01196671,0.003164483,0.00005130791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01811307,0.0007403244,0.9800451,0.0001245539,0.00006585504,0.00001764735,0.00004707099,0.0002500023,0.0005963331],"genre_scores_gemma":[0.3505608,0.002117449,0.6435806,0.0001885207,0.0003643246,0.0001304667,0.000330986,0.0004896655,0.00223714],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002917771,"threshold_uncertainty_score":0.01543081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1676091129324707,"score_gpt":0.3603703299811132,"score_spread":0.1927612170486425,"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."}}