{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009965223,0.0006376481,0.0009668345,0.0007141444,0.0003067167,0.0007051072,0.0006338013,0.00107086,0.0009885742],"category_scores_gemma":[0.002404524,0.000429357,0.0006911043,0.0007828533,0.0005778196,0.001283037,0.0008196153,0.0009801255,0.0003026304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200336,"about_ca_system_score_gemma":0.0007342943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003284431,"about_ca_topic_score_gemma":0.003103691,"domain_scores_codex":[0.999395,0.0001309018,0.00003203782,0.00009737445,0.0003046574,0.00004003235],"domain_scores_gemma":[0.9991205,0.0005407401,0.00006303458,0.00008264866,0.0001682611,0.000024817],"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":[0.0001807651,0.00006847545,0.001098981,0.000293143,0.0002086466,0.0001668458,0.000135685,0.6040207,0.009555208,0.04093621,0.00168675,0.3416485],"study_design_scores_gemma":[0.00001093824,0.00003790369,0.0001974668,0.000005417941,0.0000140076,0.00002391449,0.000004178021,0.992904,0.0009387307,0.004235141,0.001619568,0.000008820644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001955143,0.0002607344,0.9972927,0.00003735291,0.00003389369,0.0000072083,0.000007222268,0.00007650971,0.0003290904],"genre_scores_gemma":[0.3304775,0.001532198,0.6619657,0.0001139214,0.0002867361,0.000137477,0.0001580274,0.00007610412,0.005252278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003284431,"threshold_uncertainty_score":0.006530643,"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."}}