{"id":"W2396068181","doi":"","title":"Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling.","year":2012,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial neural network; Fuzzy logic; Neuro-fuzzy; Software; Artificial intelligence; Fuzzy control system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003218613,0.0002813676,0.0003554659,0.0001735602,0.00007530957,0.00004907044,0.0002905831,0.0001487223,3.974275e-7],"category_scores_gemma":[0.0004548093,0.0002810538,0.0001141929,0.0002977517,0.00001101383,0.0004554559,0.0001322543,0.0001754874,8.965134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005273206,"about_ca_system_score_gemma":0.00002058979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000673795,"about_ca_topic_score_gemma":5.758419e-7,"domain_scores_codex":[0.9987227,0.000016301,0.0003280193,0.0002946181,0.0001048175,0.0005335885],"domain_scores_gemma":[0.9990306,0.0002996307,0.00006155161,0.0002774687,0.0001451293,0.0001855848],"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":[0.000004162099,0.0000342969,0.0005281384,0.0001833863,0.00003861115,4.066359e-7,0.0005604231,0.9939388,0.00005832118,0.001197341,0.00001085094,0.003445283],"study_design_scores_gemma":[0.000521584,0.00004730069,0.0002589772,0.00008535864,0.00001840655,0.00001174106,0.00001647206,0.9986169,0.000036858,0.000009523735,0.00007451601,0.000302326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003250461,0.008092287,0.9862466,0.000005417653,0.001440249,0.0002983987,0.00000549378,0.0006474787,0.00001363564],"genre_scores_gemma":[0.6515018,0.00001750212,0.3480636,0.000004093807,0.0002787618,0.00007623512,0.000005433123,0.00003290948,0.00001963719],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6482514,"threshold_uncertainty_score":0.9999642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132783055341806,"score_gpt":0.2137994272982335,"score_spread":0.2005211217640529,"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."}}