{"id":"W4220699573","doi":"10.1002/9781119078166.ch6","title":"Particle Filter","year":2022,"lang":"en","type":"other","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Particle filter; Resampling; Auxiliary particle filter; Ensemble Kalman filter; Kalman filter; Algorithm; Importance sampling; Gaussian; Extended Kalman filter; Monte Carlo method; Mathematics; Posterior probability; Monte Carlo localization; Computer science; Applied mathematics; Mathematical optimization; Statistics; Bayesian probability; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006220051,0.00009704488,0.000098273,0.00004287847,0.00004628759,0.00007201433,0.0008046714,0.00005966031,0.1144652],"category_scores_gemma":[0.000005059236,0.00008220127,0.00003903764,0.0001476582,0.00001203733,0.00003965872,0.0004989755,0.0001399231,0.001085961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008899382,"about_ca_system_score_gemma":0.00001146709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005642284,"about_ca_topic_score_gemma":0.00001528503,"domain_scores_codex":[0.9992298,0.00003511068,0.000082389,0.0002952793,0.0001874946,0.0001698556],"domain_scores_gemma":[0.9990856,0.00002644172,0.00004317089,0.0007909193,0.000003913662,0.00004995357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[1.941731e-7,0.00001250776,0.0000367178,0.000002126074,0.000005269523,0.00001364535,0.00001254436,0.000006990178,8.100304e-7,0.02484909,0.9660346,0.009025522],"study_design_scores_gemma":[0.00005668042,0.00001004325,0.000009596764,0.000004475556,0.000001576338,0.000004888071,0.000002884082,0.002649771,0.000007718127,0.0001655309,0.9969643,0.0001225066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[5.981095e-7,0.0003833509,0.07196786,0.0002672479,0.0008956622,0.00005352161,0.00001155718,0.0009995056,0.9254207],"genre_scores_gemma":[0.00009142394,0.00004353757,0.02207048,0.0009616754,0.0001878563,0.00001105687,0.00002249278,0.00009418447,0.9765173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1133792,"threshold_uncertainty_score":0.9996918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571316079254252,"score_gpt":0.2275798607705975,"score_spread":0.211866699978055,"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."}}