{"id":"W1563789574","doi":"10.1002/9780470575758.ch6","title":"Nonlinear Sequential State Estimation for Solving Pattern‐Classification Problems","year":2010,"lang":"en","type":"other","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Estimation; State (computer science); Nonlinear system; Pattern recognition (psychology); Computer science; Algorithm; Artificial intelligence; Mathematics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863447,0.0009085602,0.001068055,0.0006018021,0.0002545495,0.000761242,0.0009324245,0.0007634734,0.004159172],"category_scores_gemma":[0.002582394,0.000432339,0.0007438982,0.001562853,0.0004900637,0.001388693,0.0005809576,0.001202679,0.001518677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955439,"about_ca_system_score_gemma":0.000724163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004108214,"about_ca_topic_score_gemma":0.003997258,"domain_scores_codex":[0.9996266,0.00006994388,0.00003443243,0.00008955075,0.0001600633,0.00001939924],"domain_scores_gemma":[0.9994307,0.0002995686,0.00005204824,0.00006031572,0.0001464371,0.00001088039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000508598,0.0000527694,0.0005623708,0.0004989761,0.00009893157,0.00003852799,0.00007074024,0.2800858,0.003283111,0.02603696,0.005764001,0.683457],"study_design_scores_gemma":[0.000006660879,0.00002077009,0.000257841,0.00003865213,0.00001815272,0.00003127471,0.00001023081,0.9699721,0.001289847,0.02309754,0.005245882,0.00001091625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001638452,0.002036295,0.994779,0.000135205,0.00009555132,0.00001869922,0.00004992226,0.0002424499,0.00100438],"genre_scores_gemma":[0.1261112,0.01020727,0.848281,0.0001637076,0.0005877184,0.0003252946,0.0007129089,0.0001684072,0.01344258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004159172,"threshold_uncertainty_score":0.01391387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458500090981781,"score_gpt":0.2396221136152495,"score_spread":0.2250371127054317,"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."}}