{"id":"W1559132467","doi":"10.1109/iscas.2015.7168700","title":"Hyperbolic tangent passive resistive-type neuron","year":2015,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Hyperbolic function; Tangent; Artificial neural network; Standby power; Voltage; Neuron; Biological neuron model; Resistive touchscreen; CMOS; Function (biology); Computer science; Topology (electrical circuits); Control theory (sociology); Mathematics; Electronic engineering; Mathematical analysis; Artificial intelligence; Electrical engineering; Engineering; Geometry","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":[0.00004174017,0.00006154335,0.00006031867,0.00001967538,0.0000523316,0.00006149678,0.0003982155,0.00001871542,0.00001048509],"category_scores_gemma":[0.00001410442,0.00004778124,0.0000191967,0.0002953872,0.00001672335,0.0001251489,0.000149263,0.0000541452,0.0002740211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001510365,"about_ca_system_score_gemma":0.00003385222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126954,"about_ca_topic_score_gemma":0.000007753497,"domain_scores_codex":[0.9994257,0.00002081578,0.00007950289,0.0002066883,0.0001269583,0.0001403064],"domain_scores_gemma":[0.999386,0.00002527846,0.00002657377,0.0003492192,0.00007957552,0.0001334288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007203686,0.00009731019,0.0003261319,0.000002091126,0.000008387758,0.00002156178,0.0001628304,0.0004576265,0.001836435,0.5834323,0.3233417,0.09030642],"study_design_scores_gemma":[0.0004184991,0.0003539056,0.01084718,0.000007301615,0.000008086086,0.00002792791,0.00003676625,0.06123149,0.00320003,0.01839112,0.9051111,0.0003666276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1917857,0.0007944332,0.5654427,0.04337488,0.002698066,0.0009251918,0.000003415809,0.001481833,0.1934938],"genre_scores_gemma":[0.9836894,0.00001991191,0.01072633,0.001641303,0.0001773235,0.00001556679,0.000001409382,0.000005730655,0.003723077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7919036,"threshold_uncertainty_score":0.3522078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945330814562907,"score_gpt":0.2677537256034056,"score_spread":0.2183004174577765,"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."}}