{"id":"W4399828221","doi":"10.1007/978-3-031-54071-4_16","title":"Coding and Control for Linear Gaussian Systems: Separation, Optimality and Linearity","year":2024,"lang":"en","type":"book-chapter","venue":"Systems & control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Linearity; Gaussian; Computer science; Coding (social sciences); Mathematics; Algorithm; Control theory (sociology); Control (management); Statistics; Artificial intelligence; Electronic engineering; Engineering; 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":[0.0004287613,0.0005017801,0.0005122176,0.0003603619,0.0002397719,0.001389967,0.0004601324,0.0007253572,0.003472847],"category_scores_gemma":[0.001120874,0.000283231,0.0002890526,0.001076023,0.001773479,0.001512744,0.0006536623,0.001475593,0.0009378292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007683724,"about_ca_system_score_gemma":0.0007157407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002253674,"about_ca_topic_score_gemma":0.001502133,"domain_scores_codex":[0.999777,0.00004699285,0.00001033174,0.00003448684,0.0001126105,0.00001852073],"domain_scores_gemma":[0.9996674,0.0002296996,0.00001819321,0.00002938072,0.00004880727,0.000006376109],"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":[0.00002233041,0.00001290214,0.00004729192,0.0001491925,0.00001009688,0.0000233133,0.0001520502,0.02855137,0.001836091,0.8644433,0.009354614,0.09539755],"study_design_scores_gemma":[0.000008133888,0.00004087981,0.0001972595,0.0001045854,0.00001162945,0.00008043301,0.00005006092,0.1168735,0.001513732,0.8466094,0.03448415,0.00002630323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00557816,0.0248346,0.8845447,0.001271874,0.0005560828,0.00003136642,0.00012284,0.0002432385,0.08281707],"genre_scores_gemma":[0.4950213,0.06637835,0.2681687,0.001201412,0.002616278,0.0002713278,0.0005134284,0.0004000694,0.1654291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003472847,"threshold_uncertainty_score":0.01161778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606736777941422,"score_gpt":0.2460602175077857,"score_spread":0.2299928497283715,"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."}}