{"id":"W3123825552","doi":"10.1016/j.dsp.2021.102978","title":"A general model-based filter initialization approach for linear and nonlinear dynamic systems","year":2021,"lang":"en","type":"article","venue":"Digital Signal Processing","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Initialization; Nonlinear system; Computer science; Filter (signal processing); Covariance; Consistency (knowledge bases); Control theory (sociology); Algorithm; Transformation (genetics); Mathematical optimization; Mathematics; Applied mathematics; 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":[0.0005980663,0.001060245,0.000885272,0.0004719786,0.0004098002,0.0009271433,0.001046878,0.00130881,0.004460367],"category_scores_gemma":[0.001470777,0.0005464408,0.001013466,0.000639401,0.0004370979,0.001444544,0.0009864137,0.001597741,0.003353802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028798,"about_ca_system_score_gemma":0.0007490237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652998,"about_ca_topic_score_gemma":0.003736157,"domain_scores_codex":[0.9996794,0.00007226657,0.00002024856,0.00008680444,0.0001147036,0.00002649409],"domain_scores_gemma":[0.9997134,0.0000849686,0.00002945226,0.00005671092,0.0001015446,0.00001391072],"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":[0.0001296273,0.00007928401,0.0003925246,0.0003546604,0.0001333046,0.0002375371,0.0001391654,0.6254221,0.02936206,0.07551599,0.006635423,0.2615983],"study_design_scores_gemma":[0.000006918821,0.00003203071,0.00009584743,0.00001243574,0.00001528577,0.00005778672,0.000005337331,0.9853536,0.002660784,0.008129829,0.003615008,0.00001517479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002891694,0.00006472641,0.9989446,0.00002292361,0.00002255407,0.000006978089,0.0000144443,0.0001215003,0.000513203],"genre_scores_gemma":[0.2022501,0.001180602,0.774665,0.0002646588,0.0003016516,0.0002784251,0.0007206884,0.0004662329,0.01987258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004460367,"threshold_uncertainty_score":0.01492143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243280021784133,"score_gpt":0.257329567606757,"score_spread":0.2330015654283437,"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."}}