{"id":"W2469381670","doi":"10.1139/cjp-2015-0519","title":"Positive <i>L</i><sub>1</sub>-gain filter design for positive Markovian jump systems with time-varying delay and incomplete transition rates","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filter (signal processing); Weighting; Physics; Control theory (sociology); Lyapunov function; Stability (learning theory); Jump; Markov process; Applied mathematics; Function (biology); Filter design; Stability theory; Mathematics; Nonlinear system; Statistics; Computer science; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002986708,0.0001986138,0.0003513967,0.0001019731,0.0001284023,0.00008888336,0.0001016492,0.00007021867,0.000002526962],"category_scores_gemma":[0.00001796615,0.0001485281,0.00008718756,0.0001003249,0.00009661239,0.0003688363,0.0000022311,0.0001132914,0.00000361491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279416,"about_ca_system_score_gemma":0.0002422345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999613,"about_ca_topic_score_gemma":0.0005014818,"domain_scores_codex":[0.9989927,0.0001093618,0.0003062312,0.0001355701,0.0001232134,0.0003328602],"domain_scores_gemma":[0.9987524,0.0003939137,0.0001141091,0.0001023049,0.0002821434,0.0003551658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00133153,0.00004852186,0.00053811,0.0005887666,0.002094835,0.0004473611,0.01021014,0.1577624,0.7716801,0.001325711,0.003354538,0.05061796],"study_design_scores_gemma":[0.02228502,0.006190035,0.004144148,0.01296327,0.001592971,0.002526265,0.002279589,0.4246328,0.5088891,0.00877729,0.001537258,0.004182188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2455026,0.0006875461,0.751941,0.0004307131,0.0002595487,0.0006308006,0.0004077911,0.00002119997,0.000118789],"genre_scores_gemma":[0.9989407,0.000009012352,0.0005362144,0.00008849798,0.000351773,0.00001842802,0.000006939813,0.00004062418,0.000007828065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7534381,"threshold_uncertainty_score":0.60568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996133224519987,"score_gpt":0.1789448740671978,"score_spread":0.168983541821998,"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."}}