{"id":"W2141070932","doi":"10.1109/tnn.2004.824415","title":"Scalable Closed-Boundary Analog Neural Networks","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Sharif University of Technology","keywords":"Computer science; Scalability; Quadratic equation; Artificial neural network; Boundary (topology); Classifier (UML); Activation function; Topology (electrical circuits); Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000194919,0.0005414555,0.0004363304,0.0001926085,0.001172249,0.0005505447,0.001410963,0.0002906133,0.00005605826],"category_scores_gemma":[0.000002053636,0.0005097833,0.0003950527,0.001784949,0.0002195975,0.0009515251,0.00001873919,0.00134617,0.00005691559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001397907,"about_ca_system_score_gemma":0.00005438724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009803815,"about_ca_topic_score_gemma":0.000167411,"domain_scores_codex":[0.9966182,0.000123137,0.0006206867,0.001063214,0.0004478534,0.001126899],"domain_scores_gemma":[0.9977775,0.0002111897,0.0001766275,0.001277972,0.000110499,0.0004461834],"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":[0.00002733655,0.0001975133,0.00001083447,0.000003724045,0.00002868023,0.00003829571,0.00002592952,0.8872827,0.00005244982,0.001539954,0.0008660997,0.1099265],"study_design_scores_gemma":[0.0008387773,0.0002747386,0.0002345035,0.00003059227,0.00003634319,0.0001270119,0.000006393251,0.9948001,0.0003524383,0.001226888,0.001523864,0.0005483411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01555273,0.0003955731,0.9762159,0.003284731,0.002735392,0.0005657322,0.000009203414,0.000837737,0.0004030107],"genre_scores_gemma":[0.9921511,0.0002094537,0.002971462,0.003505317,0.0006138328,0.0001569718,0.00001075049,0.00006029188,0.0003208674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765983,"threshold_uncertainty_score":0.9997354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388366651108079,"score_gpt":0.2367224870528317,"score_spread":0.222838820541751,"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."}}