{"id":"W4366396715","doi":"10.1007/978-3-031-08329-7_16","title":"Correction to: Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error","year":2023,"lang":"en","type":"book-chapter","venue":"ICSA book series in statistics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Identifiability; Autoregressive model; Estimation; Arch; Econometrics; Computer science; Statistics; Applied mathematics; Mathematics; History; Economics; Archaeology; Management","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":[0.004743581,0.003610465,0.003978769,0.00666032,0.002531813,0.005523025,0.004138926,0.006515192,0.2783409],"category_scores_gemma":[0.1014608,0.002276323,0.00265574,0.008276888,0.00179201,0.006018881,0.00395116,0.01069663,0.1789594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328851,"about_ca_system_score_gemma":0.005402174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037015,"about_ca_topic_score_gemma":0.01420403,"domain_scores_codex":[0.9936149,0.001241058,0.001150101,0.0010095,0.002550536,0.0004338163],"domain_scores_gemma":[0.934477,0.01625787,0.003028351,0.008937099,0.03631279,0.0009869229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003305248,0.00001218024,0.00009415703,0.0001825317,0.00001781088,0.00009508304,0.00004049412,0.0003527888,0.00007990112,0.004252531,0.9801136,0.01472581],"study_design_scores_gemma":[0.0001038826,0.00004236808,0.001520605,0.0005686641,0.0000670298,0.0006598878,0.0001211861,0.005231899,0.001254803,0.02429568,0.9659955,0.000138529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0009341396,0.003620077,0.0356207,0.04175077,0.8837272,0.0001294679,0.01334675,0.007686418,0.01318448],"genre_scores_gemma":[0.04622242,0.01106941,0.08198214,0.02850232,0.1978415,0.0009173419,0.03189519,0.01686536,0.5847043],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2783409,"threshold_uncertainty_score":0.9311431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0797743145604507,"score_gpt":0.2624831577356952,"score_spread":0.1827088431752446,"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."}}