{"id":"W1906820698","doi":"10.1109/cacsd.1992.274435","title":"Learning and adaptation in control systems with interactive computer graphics","year":2003,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Controller (irrigation); A priori and a posteriori; Adaptation (eye); Control (management); Computer graphics; Graphics; Artificial neural network; Scheme (mathematics); Adaptive control; Control system; Control engineering; Artificial intelligence; Inverse dynamics; Computer graphics (images); Engineering; Mathematics","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":[0.0005331102,0.0008264407,0.0005620827,0.000596778,0.0002989566,0.00127606,0.0009863183,0.001221123,0.02517159],"category_scores_gemma":[0.00196042,0.0003453321,0.00049443,0.0006505099,0.000970736,0.001110938,0.0009036891,0.001360999,0.003832771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723555,"about_ca_system_score_gemma":0.0003107231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148172,"about_ca_topic_score_gemma":0.001846304,"domain_scores_codex":[0.9995604,0.0001662987,0.00002461555,0.00004991977,0.0001750951,0.00002364626],"domain_scores_gemma":[0.9995159,0.0003254009,0.00002370931,0.00005906722,0.00005965507,0.00001620709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001982975,0.0000701916,0.0002647225,0.0005640616,0.00007253515,0.000489199,0.00038807,0.1949886,0.01521034,0.1943073,0.05242467,0.541022],"study_design_scores_gemma":[0.00005115259,0.00008656076,0.0002668065,0.00008496994,0.00002302918,0.000309591,0.0000306257,0.7710631,0.007340399,0.06781913,0.1528917,0.00003286231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000890775,0.0007307584,0.9856833,0.000239874,0.00009930103,0.00004153204,0.00004888372,0.003643428,0.00862223],"genre_scores_gemma":[0.09444404,0.002406377,0.8613514,0.0004796828,0.0003123244,0.0007105253,0.0003627593,0.0009113655,0.03902159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02517159,"threshold_uncertainty_score":0.0842073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106845373698832,"score_gpt":0.2211238521329094,"score_spread":0.2104393147630262,"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."}}