{"id":"W7018517267","doi":"","title":"Design of 1-D and 2-D filters with finite-wordlength coefficients using Genetic Algorithms","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genetic algorithm; Filter (signal processing); Noise (video); Sequence (biology); Stability (learning theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991322,0.0006894374,0.0005051488,0.000707788,0.0003686482,0.001041255,0.0008277245,0.001252782,0.002479932],"category_scores_gemma":[0.001365272,0.0004063027,0.0006006245,0.0004585323,0.0003648316,0.0004909945,0.0003498119,0.0004948074,0.000632705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860589,"about_ca_system_score_gemma":0.0008452982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004130244,"about_ca_topic_score_gemma":0.006844822,"domain_scores_codex":[0.9997674,0.00003946386,0.00001624658,0.00005817226,0.00007907527,0.00003973152],"domain_scores_gemma":[0.9994128,0.0002719101,0.00009873415,0.00004509485,0.0001490041,0.00002246859],"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":[0.0003506582,0.000152347,0.001461683,0.0002879062,0.0001705695,0.0002215034,0.0002774156,0.4264898,0.1074996,0.03501857,0.002252432,0.4258175],"study_design_scores_gemma":[0.0001193,0.0002402325,0.0006141639,0.00004738228,0.00008316484,0.0002154564,0.00003960879,0.9467357,0.03824871,0.006787535,0.006827836,0.00004083136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02032641,0.0001858213,0.9756369,0.00006439898,0.00004439585,0.00005245116,0.00003185538,0.0004201104,0.003237651],"genre_scores_gemma":[0.2582634,0.000315972,0.7349769,0.0001227654,0.00002895903,0.0001626052,0.00009844526,0.00005941106,0.005971506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004130244,"threshold_uncertainty_score":0.008296251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008002912086164,"score_gpt":0.1694510729358599,"score_spread":0.1593710438149982,"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."}}