{"id":"W1827452565","doi":"10.1109/icassp.1985.1168203","title":"Effective multifrequency receiver design","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Aliasing; Computer science; Reduction (mathematics); Decoding methods; Algorithm; Anti-aliasing; Electronic engineering; Computer engineering; Speech recognition; Speech coding; Mathematics; Telecommunications; Engineering; Digital audio","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":[0.001209271,0.0007360623,0.0006562514,0.0004775208,0.0004411505,0.001136381,0.001563555,0.001411179,0.007311705],"category_scores_gemma":[0.00133983,0.0002093325,0.0002821842,0.0002691867,0.0003634759,0.00110578,0.000463607,0.0006905234,0.002012963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008733285,"about_ca_system_score_gemma":0.0006963252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835089,"about_ca_topic_score_gemma":0.0004954654,"domain_scores_codex":[0.998931,0.0002178312,0.00006472565,0.0002049636,0.0004737892,0.0001075862],"domain_scores_gemma":[0.9992867,0.000153336,0.00009663569,0.0001158996,0.0003042684,0.00004317008],"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":[0.00130746,0.0002634652,0.001938962,0.00077976,0.0001146389,0.0002310922,0.0002432926,0.03460613,0.6189132,0.08824521,0.002892326,0.2504645],"study_design_scores_gemma":[0.000376789,0.002725358,0.001713527,0.0001034358,0.0001913652,0.0008645572,0.00006339919,0.3165067,0.6168901,0.008937929,0.05152531,0.0001015721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02609166,0.0002864505,0.9675496,0.0001549931,0.00009255765,0.0002791677,0.0001121684,0.0007829945,0.004650409],"genre_scores_gemma":[0.3994338,0.000293212,0.5926177,0.0002892657,0.0001164703,0.0003551902,0.0001935031,0.00007950226,0.006621415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007311705,"threshold_uncertainty_score":0.02446008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724193831103008,"score_gpt":0.2700410168206039,"score_spread":0.2427990785095738,"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."}}