{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237955,0.00007107779,0.0001454829,0.000009053901,0.00008031073,0.000006708287,0.0006347401,0.00002559555,0.00004791259],"category_scores_gemma":[0.00006418121,0.00003787702,0.0002025745,0.000135878,0.0001871121,0.00005609468,0.0001119985,0.0003263451,0.000005468116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004062834,"about_ca_system_score_gemma":0.00001796582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003550525,"about_ca_topic_score_gemma":2.101266e-7,"domain_scores_codex":[0.9993797,0.00003401523,0.0002677758,0.00002378702,0.0001707413,0.0001239995],"domain_scores_gemma":[0.9991943,0.0002753609,0.0001102743,0.0003195461,0.00005775085,0.00004278013],"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":[0.0000135996,0.0000471645,0.000005331937,0.00001649605,0.0001199416,7.943679e-8,0.0007487765,0.9121588,0.02561258,0.000004755399,0.03319627,0.02807613],"study_design_scores_gemma":[0.0001767903,0.00004660611,0.0003555713,0.00005922994,0.0001182577,0.00003644795,0.0004097886,0.9850773,0.001119924,0.0001584636,0.01236648,0.00007518176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02221821,0.001434577,0.9707941,0.004800971,0.0001845204,0.00006089854,0.000004832929,0.00002422912,0.0004776039],"genre_scores_gemma":[0.9554738,0.0004674328,0.04351454,0.0003297724,0.0001613401,4.772181e-7,9.313606e-8,0.00001168747,0.00004087451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9332556,"threshold_uncertainty_score":0.154458,"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."}}