{"id":"W4407309011","doi":"10.48550/arxiv.2502.04551","title":"Stability of Jordan Recurrent Neural Network Estimator","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Estimator; Artificial neural network; Stability (learning theory); Computer science; Artificial intelligence; Mathematics; Econometrics; Statistics; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427918,0.0005811487,0.0006511426,0.0004922478,0.0005828867,0.0008541348,0.0007134522,0.0007596336,0.001925121],"category_scores_gemma":[0.007721799,0.000275112,0.0004822646,0.0002469283,0.001179712,0.0009363997,0.001072869,0.0009256274,0.0003774522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223112,"about_ca_system_score_gemma":0.0005892279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003809212,"about_ca_topic_score_gemma":0.001987751,"domain_scores_codex":[0.9994266,0.000206825,0.00002785776,0.0001351671,0.0001465566,0.00005697933],"domain_scores_gemma":[0.9967346,0.001695078,0.0004454886,0.0001799861,0.0008690808,0.000075818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002517803,0.00003946756,0.003433666,0.0001728717,0.00007727402,0.0002740028,0.0003529248,0.8437528,0.01372407,0.106222,0.001753891,0.02994528],"study_design_scores_gemma":[0.000003213986,0.0000124872,0.0001902721,0.000006073181,0.00000289917,0.00001837548,0.00001051361,0.9913207,0.0008710535,0.007414268,0.00014506,0.000005184047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1726622,0.001137706,0.8067112,0.0007661799,0.00006655877,0.00004938781,0.0001482125,0.0005094391,0.01794909],"genre_scores_gemma":[0.9708871,0.0002805699,0.02340242,0.00007749042,0.00002487361,0.00006861389,0.0001090351,0.00007793026,0.005071977],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003809212,"threshold_uncertainty_score":0.007574081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05713653616547869,"score_gpt":0.2995047359159294,"score_spread":0.2423681997504507,"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."}}