{"id":"W2889894939","doi":"10.23919/icif.2018.8455704","title":"Reduced Order Nonlinear Filters for Multi-Scale Systems with Correlated Sensor Noise","year":2018,"lang":"en","type":"article","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Testbed; Computer science; Nonlinear system; Data assimilation; Scalability; Noise (video); Particle filter; Filter (signal processing); Chaotic; Convergence (economics); Scale (ratio); Algorithm; Artificial intelligence; 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":[0.0005359562,0.0003766449,0.0003906428,0.0002707761,0.0003421184,0.0006653477,0.0003924282,0.0008012407,0.001246386],"category_scores_gemma":[0.002215716,0.0002295317,0.0004967384,0.0002562579,0.0008880253,0.001032332,0.00056767,0.0008006095,0.0001811503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208413,"about_ca_system_score_gemma":0.0008385901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008161473,"about_ca_topic_score_gemma":0.006437489,"domain_scores_codex":[0.9998133,0.00004374655,0.000009538877,0.00003795789,0.00007592921,0.00001956864],"domain_scores_gemma":[0.9992964,0.0004232247,0.00009068376,0.00006925125,0.00009524827,0.0000250903],"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":[0.00002637424,0.00002302612,0.0007506741,0.0000424287,0.00002121177,0.00006793369,0.00008939317,0.9296201,0.00642853,0.05173139,0.0004190899,0.01077982],"study_design_scores_gemma":[0.000002240372,0.000004215055,0.0000622565,9.397152e-7,0.000001301636,0.000004602217,0.000003716717,0.9965922,0.0003683538,0.002722354,0.0002354527,0.000002335326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02483574,0.00008074274,0.9723389,0.0002002567,0.00003181325,0.00001822981,0.00002591463,0.0001047675,0.002363556],"genre_scores_gemma":[0.7642538,0.0003504787,0.2276068,0.0001376668,0.0000684088,0.00008640403,0.0001091091,0.00007888371,0.007308444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008161473,"threshold_uncertainty_score":0.01622796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04325760139017013,"score_gpt":0.2554947576758501,"score_spread":0.2122371562856799,"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."}}