{"id":"W2127423726","doi":"10.1109/iros.1990.262513","title":"Intelligent adaptive identification for control systems: case studies","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Technical University of Nova Scotia","funders":"","keywords":"Identification (biology); Computer science; Expert system; Lisp; Intelligent decision support system; Control (management); Intelligent control; Artificial intelligence; 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":[0.00337853,0.0007125723,0.0004982703,0.001200801,0.001354874,0.001961496,0.001962863,0.004256765,0.004041942],"category_scores_gemma":[0.01044135,0.0002981744,0.0007708013,0.00221972,0.001276487,0.001262807,0.001610893,0.001425683,0.0005008087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291747,"about_ca_system_score_gemma":0.0005912993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004200981,"about_ca_topic_score_gemma":0.005591651,"domain_scores_codex":[0.9970253,0.001835662,0.0001438405,0.0001518268,0.0005503182,0.0002930428],"domain_scores_gemma":[0.9916635,0.006761238,0.0003225582,0.0004963097,0.0005172509,0.0002392391],"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":[0.001454611,0.005220544,0.02510184,0.005049408,0.0003698289,0.06097011,0.009415984,0.3297891,0.004180779,0.1805848,0.03697934,0.3408836],"study_design_scores_gemma":[0.001619583,0.004320377,0.02516297,0.001756469,0.0003812319,0.02838614,0.01766182,0.5193642,0.01950368,0.09390861,0.287629,0.0003058759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7090084,0.01731602,0.1524245,0.00556343,0.0003106194,0.001575699,0.0006893608,0.0005064061,0.1126055],"genre_scores_gemma":[0.9433938,0.005467173,0.0419036,0.0003397446,0.00009974701,0.0006402956,0.0002177082,0.0000414943,0.007896336],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004256765,"threshold_uncertainty_score":0.01786757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09409566902786794,"score_gpt":0.3075511154081996,"score_spread":0.2134554463803317,"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."}}