{"id":"W2123672328","doi":"10.1109/cca.2002.1038784","title":"Using measures of controllability and observability for input and output selection","year":2003,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Observability; Controllability; Control theory (sociology); Selection (genetic algorithm); Linear-quadratic-Gaussian control; Controller (irrigation); Computer science; Control (management); Mathematics; Artificial intelligence; Applied 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":[0.00350434,0.00136599,0.0007201072,0.002479416,0.0003993334,0.001747328,0.0006249323,0.0009248846,0.001097546],"category_scores_gemma":[0.02009089,0.0002453959,0.000829601,0.001010594,0.001889884,0.003234535,0.001182939,0.001087215,0.0001535385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006083104,"about_ca_system_score_gemma":0.0005957619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005829697,"about_ca_topic_score_gemma":0.0004505032,"domain_scores_codex":[0.9960036,0.001494888,0.0003665262,0.0005734151,0.001383973,0.0001776237],"domain_scores_gemma":[0.9871505,0.009304603,0.001520445,0.0008377433,0.001032163,0.0001545329],"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":[0.0006648194,0.0002701589,0.006875702,0.0009398813,0.0006365763,0.0003433918,0.0005839213,0.1899655,0.04693363,0.3384857,0.0008188687,0.413482],"study_design_scores_gemma":[0.0001481907,0.001510541,0.008198895,0.0001952723,0.0002655033,0.0005555952,0.0002285695,0.7259281,0.07427271,0.1823049,0.00609666,0.0002951459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01185774,0.00025935,0.9864191,0.00006907618,0.00003295259,0.00003395578,0.00001785333,0.0001231848,0.001186752],"genre_scores_gemma":[0.7610612,0.0005032833,0.2365572,0.0001464487,0.0001724314,0.0003203967,0.00013513,0.0001120474,0.0009919077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00350434,"threshold_uncertainty_score":0.01853293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073626807959186,"score_gpt":0.2994148836058091,"score_spread":0.1920522028098905,"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."}}