{"id":"W2147923210","doi":"10.1109/vetec.1990.110374","title":"An adaptive filtering technique for pilot aided transmission systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bandwidth (computing); Computer science; Adaptive filter; Filter (signal processing); Doppler effect; Transmission (telecommunications); Electronic engineering; Algorithm; Telecommunications; Engineering; Computer vision","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":[0.00009587201,0.0001217881,0.0001377126,0.00005228777,0.00005978034,0.00002268196,0.0001097037,0.00005675735,0.000295862],"category_scores_gemma":[0.00000379038,0.0001071889,0.00003488499,0.00007093056,0.000009852363,0.0001283241,0.000005145763,0.00008836471,0.000006717601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003007023,"about_ca_system_score_gemma":0.000002240146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002233116,"about_ca_topic_score_gemma":0.000005050619,"domain_scores_codex":[0.9993545,0.00002448489,0.0001738729,0.000162548,0.00007909842,0.0002055341],"domain_scores_gemma":[0.9996244,0.00005571446,0.00001047608,0.0002040696,0.00002191978,0.00008342564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003532999,0.00006116948,0.0000034751,0.0001301566,0.00000677239,9.581589e-7,0.0001195969,0.00736888,0.9833887,0.0002491852,0.001242384,0.007393382],"study_design_scores_gemma":[0.0002475767,0.001206271,0.00002950434,0.00007658194,0.000006301344,0.000006027177,0.00002238457,0.6965117,0.3002068,0.0001548856,0.001380879,0.0001510576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1328928,0.0005954728,0.8572025,0.00002465514,0.0001265279,0.001101606,0.000008121194,0.000784574,0.007263781],"genre_scores_gemma":[0.9826896,0.0000292189,0.01668621,0.000006637841,0.00004922024,0.0002292548,0.000004971622,0.00002597885,0.0002788981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8497968,"threshold_uncertainty_score":0.4371038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856079084119943,"score_gpt":0.2277649850495984,"score_spread":0.199204194208399,"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."}}