{"id":"W2116221794","doi":"10.1109/icnn.1993.298618","title":"Dynamic neural controller with somatic adaptation","year":2002,"lang":"en","type":"article","venue":"IEEE International Conference on Neural Networks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sigmoid function; Artificial neural network; Computer science; Nonlinear system; Artificial intelligence; Controller (irrigation); Adaptation (eye); Control theory (sociology); Neuroscience; Biology; Control (management)","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":[0.0002668445,0.0003910264,0.0003699351,0.0003286704,0.0003882349,0.0007394715,0.0012169,0.0008160391,0.003729053],"category_scores_gemma":[0.0006435874,0.0001647874,0.00035042,0.0003170768,0.0004034006,0.0004864802,0.0007051249,0.0006268905,0.0008048843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004722278,"about_ca_system_score_gemma":0.0004853894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002096978,"about_ca_topic_score_gemma":0.00240195,"domain_scores_codex":[0.999828,0.00001843396,0.00001047846,0.00004595956,0.00007538148,0.00002179752],"domain_scores_gemma":[0.9998376,0.0000326572,0.00002127088,0.0000193089,0.00007619772,0.00001296882],"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":[0.0002602101,0.0002104424,0.0008351695,0.0004127309,0.0001277463,0.0005094491,0.0001464615,0.4887129,0.06077458,0.03685637,0.00659612,0.4045578],"study_design_scores_gemma":[0.00004590375,0.0001139969,0.0003530107,0.00001659291,0.00001957979,0.000103927,0.000006365788,0.9880466,0.00459379,0.002245235,0.004441335,0.00001367516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02628604,0.0008482086,0.9314814,0.0003715153,0.0005251571,0.0001734561,0.00007903999,0.002291627,0.03794354],"genre_scores_gemma":[0.9045762,0.0004332823,0.07401183,0.0003227496,0.0001243295,0.0003189917,0.000103727,0.00005471587,0.02005418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003729053,"threshold_uncertainty_score":0.01247489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04864879469509891,"score_gpt":0.2688618344390509,"score_spread":0.220213039743952,"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."}}