{"id":"W4416728370","doi":"10.1109/mwscas53549.2025.11244495","title":"Reconfigurable Analog Neural Networks: Architecture, Design, and Performance Evaluation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MNIST database; Artificial neural network; Converters; Neuromorphic engineering; Measure (data warehouse); Power (physics); Software; Analog computer; Energy (signal processing); Field-programmable gate array","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008059032,0.0003402928,0.0003168742,0.0001860475,0.000357219,0.00009977316,0.000154589,0.0001390629,0.000160232],"category_scores_gemma":[0.00008261177,0.0003359347,0.00005696587,0.0005574255,0.00006227267,0.0002978095,0.00005058732,0.0005522104,0.000005065245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008283737,"about_ca_system_score_gemma":0.00003917863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000281897,"about_ca_topic_score_gemma":0.000002888477,"domain_scores_codex":[0.9982146,0.0001946231,0.0004422623,0.0004533863,0.0001653396,0.0005297639],"domain_scores_gemma":[0.9990617,0.0003999152,0.00006578943,0.0002797551,0.0000939121,0.00009890417],"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":[0.00005103811,0.000005357867,0.0001118755,0.0000752388,0.00002798568,0.000001276742,0.00003990694,0.6150374,0.0006895349,0.00006410773,0.0000778296,0.3838184],"study_design_scores_gemma":[0.0005812793,0.0001447807,0.002047026,0.0002082531,0.0001007194,0.00001762308,0.00002710381,0.982617,0.01306659,0.000655569,0.0002214121,0.000312691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.335324,0.00606273,0.6466091,0.0001080059,0.001108651,0.0007343015,5.157565e-7,0.0001717875,0.009880904],"genre_scores_gemma":[0.9942661,0.0007304052,0.003678546,0.0002751405,0.000151462,0.00002402922,0.00000481103,0.00002468123,0.0008448497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6589421,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569760544434045,"score_gpt":0.2610491336172521,"score_spread":0.2353515281729116,"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."}}