{"id":"W2289774568","doi":"10.1109/cdc.2015.7402364","title":"Comparison of different observer designs for heat equation","year":2015,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Extended Kalman filter; Nonlinear system; Kalman filter; Observer (physics); Robustness (evolution); Alpha beta filter; Computer science; Unscented transform; Invariant extended Kalman filter; State observer; Partial differential equation; Mathematics; Moving horizon estimation; Artificial intelligence; Mathematical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001176686,0.00008243119,0.0002145653,0.00003029809,0.00002129232,0.00001244588,0.00007299608,0.00004913651,0.00006226845],"category_scores_gemma":[0.0001218808,0.00007243657,0.00007332813,0.00005218197,0.00002123345,0.00006801752,0.000008509486,0.00003526607,0.000006166702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005390232,"about_ca_system_score_gemma":0.00001387813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000249432,"about_ca_topic_score_gemma":0.0001422667,"domain_scores_codex":[0.9993867,0.00002169734,0.0002616237,0.00008632614,0.0001288729,0.0001147399],"domain_scores_gemma":[0.9994609,0.0001948597,0.00001390999,0.0001560324,0.0001072934,0.00006699689],"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":[0.0004326681,0.001852219,0.1255593,0.0008989352,0.0004229413,9.145499e-8,0.008026245,0.6395274,0.09453835,0.08461057,0.00443782,0.03969346],"study_design_scores_gemma":[0.001032921,0.0001832038,0.009947775,0.000007961688,0.00003946935,4.490677e-8,0.0004255264,0.9451945,0.03154822,0.01135944,0.0001413695,0.0001195122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4711665,0.00006094531,0.5275478,0.00009048446,0.0001551877,0.0002691094,0.000006745763,0.00008466983,0.0006184814],"genre_scores_gemma":[0.9979329,8.108772e-7,0.001899541,0.000007963029,0.0000307261,0.00005245733,0.00002564361,0.000008853328,0.00004110164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5267664,"threshold_uncertainty_score":0.2953878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.226762836732752,"score_gpt":0.3325519828264532,"score_spread":0.1057891460937012,"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."}}