{"id":"W2131700130","doi":"10.1109/sipnn.1994.344786","title":"Comparison of three different architectures for MOS-compatible quadratic synapses","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial neural network; Software; Quadratic equation; Electronics; Computer architecture; Artificial intelligence; Computer engineering; Computer hardware; Electrical engineering; Mathematics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171358,0.0002462427,0.0002024386,0.0003196031,0.000266096,0.0004252065,0.0009558776,0.0005457165,0.003195405],"category_scores_gemma":[0.001180778,0.00012498,0.000208652,0.0003010839,0.0002409158,0.0005339261,0.0002857129,0.000223972,0.000334983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004701779,"about_ca_system_score_gemma":0.0004492052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542526,"about_ca_topic_score_gemma":0.00215194,"domain_scores_codex":[0.9998845,0.00002416966,0.00001076755,0.00001327242,0.00004441922,0.00002286496],"domain_scores_gemma":[0.9995307,0.0001385554,0.0000405313,0.00007117013,0.0001707081,0.0000483863],"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":[0.00201398,0.0004304461,0.005031022,0.0007565632,0.0001453322,0.0004440096,0.0002581238,0.7431251,0.0951119,0.0517644,0.003118814,0.09780025],"study_design_scores_gemma":[0.0001326712,0.0008872843,0.00226867,0.00003230927,0.00006734118,0.0001190479,0.00006079721,0.9593705,0.03009833,0.00373814,0.003197628,0.00002723145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033666,0.0006230688,0.07358073,0.0002402926,0.00009370583,0.0001138012,0.0002219357,0.0007733533,0.02098656],"genre_scores_gemma":[0.9843819,0.0001253336,0.0141469,0.00001653144,0.000003741592,0.00002977973,0.00005855609,0.0000199439,0.001217226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003195405,"threshold_uncertainty_score":0.01068968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569824609943513,"score_gpt":0.2949000399528547,"score_spread":0.2292017938534195,"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."}}