{"id":"W2128470788","doi":"","title":"Combined particle and smooth variable structure filtering for nonlinear estimation problems","year":2011,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear system; Particle filter; Covariance; Control theory (sociology); Variable (mathematics); State variable; Filter (signal processing); Computer science; Mathematical optimization; Mathematics; Algorithm; Statistics; Physics; 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":[0.0001666022,0.0001188133,0.00009456782,0.00009794891,0.0001560232,0.0002988343,0.0003927766,0.00007257426,0.0002152673],"category_scores_gemma":[0.00007651073,0.0001060712,0.00002167345,0.0001087234,0.00002507877,0.001785903,0.0001433546,0.0001003255,0.00002699436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002366846,"about_ca_system_score_gemma":0.00003345712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002724179,"about_ca_topic_score_gemma":0.000002340215,"domain_scores_codex":[0.9990841,0.00001715187,0.0003257099,0.0001689107,0.0002509007,0.0001532362],"domain_scores_gemma":[0.9991935,0.00005040064,0.0001770711,0.000218494,0.0002946708,0.00006579251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001331952,0.00006435197,0.0003475205,0.00004233442,0.00001702897,5.836496e-7,0.002539526,0.003631231,0.001629702,0.8910061,0.0009469159,0.09964152],"study_design_scores_gemma":[0.0006202831,0.000157102,0.001102173,0.00007396301,0.000003045999,0.000004503882,0.00005245686,0.9757562,0.001565861,0.0150271,0.005497403,0.0001398696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04265978,0.000003675043,0.9496372,0.0004861436,0.0009587548,0.0003364375,0.0001178638,0.0001844847,0.005615675],"genre_scores_gemma":[0.8111802,0.00001724374,0.1880229,0.0003715901,0.0000388488,0.00002789698,0.0002712245,0.000004778127,0.00006530889],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.972125,"threshold_uncertainty_score":0.4325456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03766503110743105,"score_gpt":0.2514763947341293,"score_spread":0.2138113636266983,"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."}}