{"id":"W4315701650","doi":"10.3390/math11020400","title":"Input-Output Selection for LSTM-Based Reduced-Order State Estimator Design","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Estimator; Computer science; Recurrent neural network; Kalman filter; Sensitivity (control systems); State (computer science); Selection (genetic algorithm); Artificial neural network; Model selection; Construct (python library); Control theory (sociology); Algorithm; Artificial intelligence; Machine learning; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002749351,0.0001093975,0.0001249645,0.00007582107,0.0001935653,0.0001321664,0.0003455497,0.00003493365,0.000003393773],"category_scores_gemma":[0.00006232329,0.0000971729,0.00004462807,0.0008445641,0.00001718588,0.0001072382,0.00005218266,0.000061546,0.0001223885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000220686,"about_ca_system_score_gemma":0.00006978665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001507111,"about_ca_topic_score_gemma":0.000001082223,"domain_scores_codex":[0.9991505,0.00001807804,0.0002082855,0.000223536,0.0001477224,0.0002519466],"domain_scores_gemma":[0.999085,0.0003453438,0.00009143174,0.0003145907,0.0001028557,0.00006078209],"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":[0.000017706,0.0006110075,0.00006372389,0.0005777719,0.00007389219,0.000006699013,0.001799507,0.4431494,0.01394382,0.2020618,0.2436718,0.09402291],"study_design_scores_gemma":[0.0001450528,0.00004310996,0.00001993345,0.00002024337,0.000005827663,0.000002775077,0.000005921886,0.9334449,0.006910221,0.05693563,0.002353538,0.0001128577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005297041,0.000005135927,0.991967,0.001455595,0.0001069861,0.0005348321,0.000003580237,0.0005371195,0.00009271163],"genre_scores_gemma":[0.05803466,0.000003831987,0.9399653,0.0002215299,0.00006090879,0.0003606277,0.000007283191,0.00002528398,0.001320542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4902956,"threshold_uncertainty_score":0.3962596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185617771222982,"score_gpt":0.2988225033633919,"score_spread":0.2369663256511621,"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."}}