{"id":"W2461384812","doi":"10.1007/978-3-319-26606-0_3","title":"Linear Gaussian Systems and Event-Based State Estimation","year":2015,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Event (particle physics); Estimator; Computer science; Estimation; State (computer science); Gaussian; Algorithm; Gaussian process; State estimator; Scheme (mathematics); Process (computing); Mathematics; Engineering; Statistics; Programming language; Physics; Systems engineering","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":[0.000650345,0.0009151772,0.0007865402,0.0004858315,0.0001400031,0.00126709,0.0007173499,0.0009200594,0.003899368],"category_scores_gemma":[0.001995957,0.0003715402,0.0004137793,0.001379953,0.001050008,0.001719351,0.0006822863,0.001488156,0.001661118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750091,"about_ca_system_score_gemma":0.0004500296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196629,"about_ca_topic_score_gemma":0.0008610061,"domain_scores_codex":[0.9995762,0.00007626378,0.00003049354,0.000105961,0.0001900293,0.00002100823],"domain_scores_gemma":[0.9990805,0.0006734686,0.00005044349,0.00007304188,0.0001106033,0.00001184219],"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":[0.00006738918,0.0000717259,0.0005080304,0.0007402334,0.0001037882,0.0001564313,0.0002277771,0.1123664,0.00232697,0.3993656,0.0292059,0.4548597],"study_design_scores_gemma":[0.00002063174,0.0001055609,0.001701109,0.0002530064,0.00006865432,0.0002463859,0.00007537312,0.3993972,0.002362036,0.4961917,0.09951072,0.00006762127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002494059,0.03385693,0.9379432,0.0008175636,0.0009534247,0.0000215208,0.0001431321,0.0005649781,0.02320514],"genre_scores_gemma":[0.4354793,0.1409175,0.2449676,0.001822353,0.005498084,0.0002151735,0.001278214,0.0005233758,0.1692984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003899368,"threshold_uncertainty_score":0.01304466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03474331122481447,"score_gpt":0.2983529133177946,"score_spread":0.2636096020929801,"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."}}