{"id":"W3007326216","doi":"10.1002/acs.3100","title":"Distributed data‐driven observer for linear time invariant systems","year":2020,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Observer (physics); Computer science; State observer; Process (computing); Stability (learning theory); LTI system theory; Control theory (sociology); State (computer science); Distributed database; Distributed computing; Invariant (physics); Linear system; Algorithm; Mathematics; Artificial intelligence; Control (management); Machine learning","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":[0.0002475778,0.0001307527,0.000300992,0.00005789088,0.00005083593,0.000155446,0.000349266,0.00005717712,0.000009514186],"category_scores_gemma":[0.0000836374,0.0001085958,0.00006686989,0.00005978696,0.00002495424,0.0004978074,0.00002811115,0.0001633037,0.000004995696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000455218,"about_ca_system_score_gemma":0.00005698016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004896017,"about_ca_topic_score_gemma":8.920197e-7,"domain_scores_codex":[0.9989358,0.00003772652,0.0004758099,0.0001337693,0.0002900189,0.0001268734],"domain_scores_gemma":[0.9989612,0.00009924083,0.0002194473,0.00004883197,0.0005353837,0.0001359153],"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":[0.004097317,0.0001142388,0.0003525667,0.0004127025,0.003483444,0.0002726835,0.001044666,0.7249507,0.1920724,0.0004783816,0.006447979,0.0662729],"study_design_scores_gemma":[0.002542335,0.0001624982,0.0001039179,0.0001515708,0.00006104753,0.00007681824,0.0001504938,0.9887771,0.0001026988,0.0000286219,0.00772467,0.0001182068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00825402,0.002828193,0.9864979,0.001100699,0.0004461973,0.000234286,0.0004824846,0.00006073532,0.000095456],"genre_scores_gemma":[0.9980604,0.00001706433,0.0004732155,0.000184073,0.001200681,0.000005765675,0.00002540625,0.0000182834,0.00001511835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9898064,"threshold_uncertainty_score":0.4428406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351875640949117,"score_gpt":0.2476469784169212,"score_spread":0.21412822200743,"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."}}