{"id":"W1893008450","doi":"10.1109/pacrim.1997.620380","title":"A CORDIC implementation of a digital artificial neuron","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"CORDIC; Computer science; Activation function; Artificial neural network; Perceptron; Artificial neuron; Transcendental function; Implementation; Sigmoid function; Computer engineering; Computer hardware; Field-programmable gate array; Artificial intelligence; Mathematics; Programming language","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":[0.0000131476,0.00002994147,0.00003564783,0.00001780758,0.00002698353,0.00005546067,0.0001523978,0.000006553775,0.000103038],"category_scores_gemma":[9.481165e-7,0.00002571562,0.00002078598,0.0001703724,0.00000991551,0.0002105178,0.00004298014,0.00001851506,0.00004451301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002438866,"about_ca_system_score_gemma":0.000002358104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001042579,"about_ca_topic_score_gemma":0.000006673889,"domain_scores_codex":[0.9996563,0.000003723598,0.0001029612,0.00009605102,0.0000700964,0.00007092764],"domain_scores_gemma":[0.999778,0.00001501776,0.00003218263,0.0001389341,0.0000143408,0.00002149284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.906962e-7,0.0000670025,0.0008557723,0.000001963199,0.00000288636,0.000001152923,0.0001157947,0.00004645536,0.002763315,0.2037868,0.00852561,0.7838327],"study_design_scores_gemma":[0.0008109001,0.0007059707,0.02452649,0.000009647242,0.00001607401,0.00003973838,0.0002745532,0.8480027,0.03452023,0.05332873,0.03716202,0.0006029283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3815961,0.00002033185,0.6042414,0.004795557,0.0001146448,0.0002211875,0.000004861308,0.0001400472,0.008865913],"genre_scores_gemma":[0.9986813,0.000002505826,0.001023181,0.0001001708,0.00002410171,0.000005793406,9.012186e-7,0.000001512575,0.0001605061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8479562,"threshold_uncertainty_score":0.1128194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718936788679452,"score_gpt":0.2773989608144758,"score_spread":0.2402095929276813,"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."}}