{"id":"W2086645184","doi":"10.2139/ssrn.2369788","title":"A Quadratic Kalman Filter","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Kalman filter; Alpha beta filter; Fast Kalman filter; Invariant extended Kalman filter; Quadratic equation; Moving horizon estimation; Ensemble Kalman filter; Extended Kalman filter; Control theory (sociology); Computer science; Mathematics; Econometrics; 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":[0.001142313,0.000792723,0.001322082,0.0006070617,0.0007473077,0.001593631,0.001089889,0.001517507,0.009746334],"category_scores_gemma":[0.003710865,0.0006967331,0.0008424918,0.0009649912,0.0006729872,0.00216828,0.001215277,0.00152072,0.003684769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007063359,"about_ca_system_score_gemma":0.001681853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008991451,"about_ca_topic_score_gemma":0.00725369,"domain_scores_codex":[0.999043,0.000203338,0.00005035888,0.0003764468,0.000265369,0.00006140337],"domain_scores_gemma":[0.9989975,0.0004271581,0.00006660903,0.0001524412,0.0003203979,0.00003602394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002239899,0.0001324907,0.001452499,0.0003392172,0.0001721957,0.000105353,0.0001821694,0.467825,0.008504557,0.1240458,0.01105721,0.3859594],"study_design_scores_gemma":[0.00001844731,0.00005132152,0.0004404999,0.00001774181,0.00003472111,0.00004716908,0.00001163948,0.9687961,0.001368909,0.02051304,0.008675233,0.00002511484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001296047,0.0001676118,0.9948226,0.0001412968,0.00009407891,0.00001716649,0.00007488573,0.0002747097,0.003111687],"genre_scores_gemma":[0.3209453,0.001100866,0.6244575,0.0004479686,0.0003495483,0.0002043491,0.0009776796,0.0003262121,0.0511905],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009746334,"threshold_uncertainty_score":0.03260475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219904096313427,"score_gpt":0.2318371536553502,"score_spread":0.2196381126922159,"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."}}