{"id":"W2568650985","doi":"10.1109/cdc.2016.7798870","title":"Robust iterative observer for source localization for Poisson equation","year":2016,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Discrete Poisson equation; Observer (physics); Laplace's equation; Poisson's equation; Poisson distribution; Kalman filter; Iterative method; Boundary (topology); Computer science; Laplace transform; Stability (learning theory); Mathematics; Noise (video); Applied mathematics; Boundary value problem; Algorithm; Mathematical optimization; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007724513,0.0004642283,0.0008888659,0.0004422794,0.0002644773,0.0007643921,0.001046213,0.00102981,0.001054805],"category_scores_gemma":[0.002596026,0.0002980596,0.0007522302,0.000366501,0.0005918305,0.0008879246,0.001311803,0.001105947,0.0003029942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862463,"about_ca_system_score_gemma":0.0009884132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002891373,"about_ca_topic_score_gemma":0.001448069,"domain_scores_codex":[0.9994341,0.0001187113,0.00003212836,0.0001242071,0.0002470506,0.00004379347],"domain_scores_gemma":[0.9993205,0.0002515748,0.000120071,0.00005487073,0.0002313568,0.00002161252],"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":[0.0001825213,0.00003964761,0.0009903049,0.000271236,0.00006640269,0.0003067322,0.0004281945,0.763096,0.05281392,0.06551444,0.00157614,0.1147145],"study_design_scores_gemma":[0.000007415054,0.00003333462,0.00009219769,0.000006880804,0.000005301554,0.00002854164,0.00001222265,0.9934319,0.00275372,0.002926972,0.0006908753,0.00001065753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002886681,0.00006263695,0.9963453,0.00003573867,0.0000129114,0.000009286731,0.000008006915,0.00009975964,0.0005397719],"genre_scores_gemma":[0.6212497,0.0006118744,0.3728198,0.0001086734,0.00006571742,0.0002645492,0.0001976305,0.00008227787,0.004599708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002891373,"threshold_uncertainty_score":0.005749047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635764943095249,"score_gpt":0.2315445479188881,"score_spread":0.1751868984879356,"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."}}