{"id":"W1590205897","doi":"10.1109/iscas.1999.777829","title":"Power implications of precision limited arithmetic in floating point FIR filters","year":2003,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Concordia University","funders":"","keywords":"Adder; Floating point; Finite impulse response; Single-precision floating-point format; Computer science; Reduction (mathematics); Power (physics); Arithmetic logic unit; Digital filter; Double-precision floating-point format; Floating-point unit; Filter (signal processing); Digital signal processing; Arithmetic; Algorithm; Computer hardware; Mathematics; Telecommunications","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":[0.0004402014,0.00007234985,0.0001331647,0.0001075185,0.00003130318,0.00003027913,0.0003120833,0.00003094216,0.00006760591],"category_scores_gemma":[0.0003975498,0.00005772796,0.00004505447,0.000745996,0.00002053063,0.000162114,0.00007962548,0.00007991516,0.00000894964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975058,"about_ca_system_score_gemma":0.00002293109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002390674,"about_ca_topic_score_gemma":0.000001429385,"domain_scores_codex":[0.9990742,0.0001290952,0.0002745776,0.000233908,0.0001192741,0.0001688948],"domain_scores_gemma":[0.9990673,0.0003680982,0.00006585837,0.0003863754,0.00005410246,0.00005825656],"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":[0.000004172062,0.0005082412,0.005522664,0.00001611312,0.00001453074,0.000005343387,0.0009228737,0.000543836,0.02920381,0.2631806,0.0005624702,0.6995154],"study_design_scores_gemma":[0.001966503,0.0008655104,0.2477373,0.0002084776,0.00001044008,0.000059306,0.000446665,0.2471957,0.1159781,0.3728275,0.01162082,0.001083732],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01067369,0.00002948822,0.9779654,0.0008360882,0.0001005884,0.000111193,7.408147e-7,0.00003711065,0.01024572],"genre_scores_gemma":[0.2810747,0.000003326792,0.718646,0.0001845877,0.000002823733,0.000004832963,2.127397e-7,0.000003132365,0.00008032196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6984317,"threshold_uncertainty_score":0.2354078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336336767547938,"score_gpt":0.2942392187956302,"score_spread":0.2708758511201508,"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."}}