{"id":"W2905141966","doi":"10.1002/pamm.201800034","title":"Fault tolerant funnel control","year":2018,"lang":"en","type":"article","venue":"PAMM","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Funnel; Control theory (sociology); Redundancy (engineering); Fault tolerance; Tracking error; Actuator; Computer science; Controller (irrigation); Tracking (education); Transformation (genetics); Control (management); Engineering; Artificial intelligence; Distributed computing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001048793,0.0001139733,0.0001726578,0.00003543113,0.00003611,0.00001986847,0.0001144142,0.00006133274,0.0001294677],"category_scores_gemma":[0.00003044816,0.0001028518,0.00004867709,0.00006089322,0.00003525592,0.0000623856,0.00000903915,0.00009102109,0.001622028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003258171,"about_ca_system_score_gemma":0.000009930957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001358872,"about_ca_topic_score_gemma":0.00002989512,"domain_scores_codex":[0.9993657,0.00001907961,0.0001615521,0.0001120969,0.0001126672,0.0002288932],"domain_scores_gemma":[0.9996006,0.00004808822,0.0000182176,0.0001921258,0.00006965353,0.00007128886],"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":[0.0007083748,0.0003583966,0.01791223,0.0005392584,0.002623755,0.0004096995,0.005705266,0.05493098,0.2802453,0.01265107,0.2130773,0.4108383],"study_design_scores_gemma":[0.001721706,0.0001005837,0.004554881,0.00003303452,0.00002477706,0.00001509618,0.00006774132,0.6851589,0.001814326,0.00006205767,0.3061409,0.0003059525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1987986,0.00240787,0.6573896,0.000597709,0.004980032,0.0008438543,0.00009421604,0.001936762,0.1329514],"genre_scores_gemma":[0.997466,0.00000351267,0.0003904852,0.0001436781,0.00142121,0.00001529267,0.000001885555,0.00003193238,0.0005260491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7986674,"threshold_uncertainty_score":0.9991553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008622337030148855,"score_gpt":0.2035954859028585,"score_spread":0.1949731488727096,"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."}}