{"id":"W4243361594","doi":"10.1121/1.4787898","title":"Stochastic filtering","year":2005,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Independent and identically distributed random variables; Mathematics; Filter (signal processing); Algorithm; Impulse response; Linear filter; Impulse (physics); Digital filter; Filter design; Sequence (biology); White noise; Matched filter; Computer science; Random variable; Statistics; Mathematical analysis; Physics","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":[0.001258925,0.0008568811,0.001117582,0.001053207,0.0007393581,0.002302974,0.0008683971,0.001206746,0.0117205],"category_scores_gemma":[0.004585416,0.0004308854,0.001138921,0.00108052,0.0008890353,0.001441503,0.001384598,0.001264229,0.00584447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009664665,"about_ca_system_score_gemma":0.0008774934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801108,"about_ca_topic_score_gemma":0.00185428,"domain_scores_codex":[0.9985845,0.0002507364,0.00007254906,0.0003523202,0.0006254737,0.0001144801],"domain_scores_gemma":[0.9987195,0.0004412877,0.00010115,0.0002763376,0.000404724,0.00005702308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001968072,0.00007864607,0.001774024,0.0002779606,0.0002146083,0.0001986811,0.0001361125,0.07575763,0.01996553,0.4165113,0.02228496,0.4626038],"study_design_scores_gemma":[0.00005795052,0.0001616817,0.001664083,0.0001320257,0.0001033554,0.0005866369,0.00007737381,0.5701017,0.01327359,0.2765184,0.1372283,0.00009492224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002145655,0.0005526518,0.9853396,0.0002299818,0.0002469998,0.00003611669,0.0001560553,0.0007218106,0.01057116],"genre_scores_gemma":[0.2565272,0.00470583,0.6675811,0.001132049,0.001367587,0.0003139484,0.002099412,0.0006266901,0.06564607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0117205,"threshold_uncertainty_score":0.03920901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150319402137526,"score_gpt":0.2372769472523804,"score_spread":0.2257737532310052,"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."}}