{"id":"W2733570652","doi":"","title":"A Time-varying Feedback Approach to Reach Control on a Simplex","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Feedback control; Simplex; Control (management); Control theory (sociology); Computer science; Mathematics; Control engineering; Engineering; Artificial intelligence; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001160151,0.0004630868,0.0005831381,0.0002449059,0.00006564047,0.00004317101,0.0002504015,0.0003559973,0.00008410293],"category_scores_gemma":[0.0000612526,0.0004996141,0.0001102195,0.0002478149,0.000007685207,0.00008944292,0.000008341738,0.0003555926,0.0008031679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825714,"about_ca_system_score_gemma":0.00002755299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005513097,"about_ca_topic_score_gemma":0.00001406975,"domain_scores_codex":[0.9984984,0.000044305,0.0003345059,0.0004318903,0.000265711,0.0004251282],"domain_scores_gemma":[0.9990575,0.0000581962,0.0001189906,0.0005079836,0.00009950303,0.0001577657],"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":[0.0004713879,0.00007256532,0.000002697547,0.0005221471,0.0002909932,0.000006325203,0.008913019,0.9665171,0.00796968,0.000497276,0.006943902,0.007792945],"study_design_scores_gemma":[0.006330623,0.0004074873,0.0003394782,0.001403468,0.0005159964,0.00002061432,0.003383357,0.9368933,0.003045926,0.0002678817,0.04343775,0.003954155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009417947,0.000624289,0.1119012,0.00002830386,0.0009332653,0.002818038,0.00003241616,0.001679476,0.8725651],"genre_scores_gemma":[0.8537067,0.00003649082,0.01432669,0.0002789394,0.0008460328,0.001268413,0.001834983,0.0008019101,0.1268999],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8442887,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139701290938541,"score_gpt":0.2595987891306216,"score_spread":0.2456286600367675,"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."}}