{"id":"W2598679417","doi":"","title":"On Reference Model Tracking for Markov Jump Systems","year":2007,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Control theory (sociology); Tracking (education); State (computer science); Controller (irrigation); Jump; State vector; Computer science; Markov chain; Mathematics; Mathematical optimization; Control (management); Algorithm; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005777847,0.0001870811,0.0002611353,0.00009353832,0.0001379716,0.00006158254,0.0001741151,0.0002169744,0.00000456561],"category_scores_gemma":[0.00007706987,0.0001813977,0.00009611931,0.00009084735,0.0000453732,0.00009568911,0.000005047018,0.0002311989,0.00001162151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002619886,"about_ca_system_score_gemma":0.00001391468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003614739,"about_ca_topic_score_gemma":0.00003730102,"domain_scores_codex":[0.9988568,0.00001993103,0.0003267092,0.0002214064,0.0001866736,0.0003884396],"domain_scores_gemma":[0.9991084,0.0004174141,0.00004187831,0.0002709974,0.00006512854,0.00009612868],"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":[0.0005460939,0.00008718841,0.0005618745,0.001161789,0.0002342362,0.00002734911,0.003923073,0.4939788,0.008651298,0.4362995,0.005281651,0.0492471],"study_design_scores_gemma":[0.001429142,0.0001236781,0.0005476742,0.0001442866,0.00003886225,0.00001388055,0.0009954125,0.9759675,0.0006969657,0.006034384,0.01341472,0.0005935393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4037332,0.0007785519,0.5787944,0.00006592664,0.0008853173,0.0005769014,0.00003735404,0.000411122,0.01471723],"genre_scores_gemma":[0.9976858,0.0000144796,0.001359293,0.0000800924,0.0002409324,0.00006981646,0.000009790909,0.00003920998,0.0005005883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5939526,"threshold_uncertainty_score":0.7397184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837314794090594,"score_gpt":0.2229589135161428,"score_spread":0.2045857655752368,"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."}}