{"id":"W2117563236","doi":"10.1109/mwscas.1993.343332","title":"Analog VLSI current mode implementation of artificial neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Very-large-scale integration; CMOS; Computer science; Artificial neural network; Electronic circuit; Sigmoid function; Electronic engineering; Current (fluid); Pulse generator; Pulse (music); Electrical engineering; Artificial intelligence; Voltage; Engineering; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292539,0.0002900792,0.0001006825,0.000174772,0.0001634091,0.0006595533,0.0009766667,0.0003376242,0.006091433],"category_scores_gemma":[0.0007337487,0.0001122162,0.0001388196,0.0001811098,0.0001584444,0.0006274807,0.0001878995,0.0003408208,0.0009059095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213397,"about_ca_system_score_gemma":0.0002367695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005239911,"about_ca_topic_score_gemma":0.001181246,"domain_scores_codex":[0.9998654,0.00002606027,0.000008595699,0.00001827678,0.00006674654,0.00001488986],"domain_scores_gemma":[0.999795,0.00006364956,0.00001596138,0.00002538274,0.00009164227,0.000008300625],"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":[0.0002707724,0.0002414331,0.001218676,0.0004744116,0.00007037619,0.0003146411,0.0001837616,0.08562179,0.1954673,0.1046868,0.004935794,0.6065142],"study_design_scores_gemma":[0.00007825501,0.0006313447,0.0009097201,0.00008974584,0.00006121348,0.0004435446,0.00005417274,0.7614526,0.1604529,0.02393721,0.05185768,0.00003168181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0454368,0.0006728006,0.9206665,0.0002691003,0.0002526556,0.0001027026,0.00009052645,0.002496351,0.03001265],"genre_scores_gemma":[0.6475731,0.0005282361,0.3363692,0.0003670332,0.00007934548,0.0001402249,0.0001636588,0.00007148558,0.0147077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006091433,"threshold_uncertainty_score":0.02037793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306861175013561,"score_gpt":0.2666978240822365,"score_spread":0.2360117065808804,"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."}}