{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599451,0.0001276242,0.000123419,0.000083469,0.0001783129,0.0003415134,0.0008765721,0.00005283816,0.0000669977],"category_scores_gemma":[0.00002391828,0.0001020582,0.00007775618,0.0001827719,0.00002338876,0.0007344332,0.00007693644,0.001200345,0.0006848097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148848,"about_ca_system_score_gemma":0.000986447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007972538,"about_ca_topic_score_gemma":0.0000620391,"domain_scores_codex":[0.9974834,0.00007210804,0.0002248401,0.0002092251,0.0002318169,0.001778583],"domain_scores_gemma":[0.999359,0.00002877769,0.00008514319,0.0003014631,0.0001044532,0.0001211525],"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":[0.000001537849,0.00004089254,0.0001657743,0.000002554559,0.00004064983,0.000003347609,0.0002439237,0.00005495274,0.0006764549,0.8746367,0.001092418,0.1230409],"study_design_scores_gemma":[0.0002033021,0.0002064845,0.0002656073,0.00001451492,0.000005195692,0.0005595434,0.0001197119,0.03989043,0.0001165542,0.9580548,0.0003782498,0.0001855922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0370482,0.0006918858,0.956907,0.003119524,0.0001831541,0.00007027829,9.769536e-8,0.00008399419,0.001895862],"genre_scores_gemma":[0.9918987,0.0002935853,0.004960264,0.0005069345,0.0001432123,0.000009504644,3.28598e-7,0.000009302977,0.002178166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9548505,"threshold_uncertainty_score":0.8802071,"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."}}