{"id":"W4410286188","doi":"10.3390/electronics14101954","title":"Neural Moving Horizon Estimation: A Systematic Literature Review","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Horizon; Estimation; Moving horizon estimation; Artificial neural network; Computer science; Artificial intelligence; Econometrics; Mathematics; Engineering; Kalman filter; Extended Kalman filter","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":[0.0002328429,0.0001110468,0.0002166947,0.00007999999,0.0001093651,0.0001811754,0.000494874,0.00002541901,0.000002467936],"category_scores_gemma":[0.0001943564,0.00009183396,0.00006066534,0.0009071853,0.000007541709,0.0005256868,0.0001121741,0.0002245076,0.00001664499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000837244,"about_ca_system_score_gemma":0.00008239858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.663576e-8,"about_ca_topic_score_gemma":3.892466e-7,"domain_scores_codex":[0.9990524,0.00007258616,0.0002408524,0.0002352143,0.000152299,0.0002466715],"domain_scores_gemma":[0.999266,0.00006582584,0.00007997873,0.0004781215,0.00007728973,0.00003281295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003546652,0.00004757718,0.000006674728,0.09066647,0.0000387833,0.00003800224,0.0002069202,0.0003860451,0.0004543898,0.3262925,0.008505196,0.5733538],"study_design_scores_gemma":[0.0001538057,0.00007238676,0.000007693506,0.06938063,0.00002498536,0.00006865631,0.000003733033,0.9148381,0.0003575076,0.006233991,0.008675804,0.0001826931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001623836,0.4313141,0.5651951,0.002275515,0.0001470857,0.0002117024,1.270249e-7,0.0001242152,0.0007158571],"genre_scores_gemma":[0.06545326,0.3138788,0.564719,0.04008882,0.0002014508,0.0003871661,0.00003278378,0.00006861093,0.0151702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9144521,"threshold_uncertainty_score":0.374488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00565860263460023,"score_gpt":0.2810443260899337,"score_spread":0.2753857234553335,"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."}}