{"id":"W2104672349","doi":"10.5081/jgps.7.1.81","title":"Test Statistics in Kalman Filtering","year":2008,"lang":"en","type":"article","venue":"Journal of Global Positioning Systems","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Statistics; Kalman filter; Test (biology); Mathematics; Computer science; Geology","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":[0.01594885,0.001285307,0.002025139,0.002710108,0.0009543416,0.003317668,0.002044671,0.002790529,0.004598449],"category_scores_gemma":[0.1045867,0.0006261303,0.001582517,0.002748141,0.004095504,0.005636253,0.001681614,0.0037859,0.001272417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706604,"about_ca_system_score_gemma":0.001760927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003929755,"about_ca_topic_score_gemma":0.001212498,"domain_scores_codex":[0.9878039,0.007749827,0.0006115978,0.001210851,0.002260188,0.0003636033],"domain_scores_gemma":[0.9232709,0.06860217,0.002232633,0.002635179,0.002922659,0.0003363934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001053292,0.00003965742,0.004156613,0.0002998391,0.0002011229,0.0002190877,0.0002148076,0.1372195,0.0003962071,0.7695341,0.003726325,0.08388752],"study_design_scores_gemma":[0.00004298162,0.0001122318,0.001324336,0.0001555721,0.00004146551,0.0001671352,0.00006306343,0.3420266,0.0006983398,0.6493666,0.005932757,0.00006901299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003280757,0.001759782,0.9901556,0.000653712,0.0001503355,0.00003789091,0.0001449377,0.0003109507,0.003506025],"genre_scores_gemma":[0.4988713,0.009142558,0.4775554,0.00137521,0.002079412,0.001191465,0.001584224,0.0005765993,0.007623814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01594885,"threshold_uncertainty_score":0.08434659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006704941964108832,"score_gpt":0.2160262991843352,"score_spread":0.2093213572202264,"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."}}