{"id":"W2096343316","doi":"10.1049/ip-cds:20040500","title":"Phase to sinusoid amplitude conversion techniques for direct digital frequency synthesis","year":2004,"lang":"en","type":"article","venue":"IEE Proceedings - Circuits Devices and Systems","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Amplitude; Sine; Sine wave; Mathematics; Phase (matter); Algorithm; Computer science; Electronic engineering; Control theory (sociology); Physics; Optics; Engineering; Electrical engineering; Geometry; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004949155,0.0002511039,0.000432122,0.0001520836,0.0002265075,0.001286404,0.0005654761,0.00009932109,8.768561e-7],"category_scores_gemma":[0.0001924211,0.0002067759,0.00009106076,0.0004203984,0.00004088237,0.001101163,0.0001071899,0.00008257631,0.000009933973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008290513,"about_ca_system_score_gemma":0.00003706905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008378865,"about_ca_topic_score_gemma":6.623255e-7,"domain_scores_codex":[0.998216,0.00001058943,0.0003821954,0.0006736221,0.0002952322,0.0004224029],"domain_scores_gemma":[0.998925,0.0001797507,0.0001797252,0.0001660667,0.0002616716,0.0002877472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002160584,0.0006862644,0.001753049,0.00186054,0.0001353452,0.000022533,0.002905948,0.000005237383,0.04748181,0.07534716,0.0003905748,0.86939],"study_design_scores_gemma":[0.01411227,0.01937922,0.002528078,0.01296843,0.0005721076,0.001735843,0.007292472,0.03824618,0.3865381,0.07943396,0.4251409,0.01205239],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06785715,0.0008617225,0.9228414,0.0007237027,0.000658659,0.001571393,0.00006399036,0.0006679335,0.004754052],"genre_scores_gemma":[0.9621932,0.00001739321,0.03700134,0.0001935021,0.000243533,0.0002859228,0.000001155884,0.00002209471,0.00004186657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.894336,"threshold_uncertainty_score":0.9997504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890678999333943,"score_gpt":0.2931598722116165,"score_spread":0.264253082218277,"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."}}