{"id":"W3121295853","doi":"","title":"Second Order Bias of Quasi-MLE for Covariance Structure Models","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Estimator; Covariance; Mathematics; Asymptotic distribution; Econometrics; Order (exchange); Normality; Statistics; Applied mathematics; Economics","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":[0.01667016,0.0005920711,0.001181757,0.001644152,0.0004077429,0.002379265,0.001541509,0.001746957,0.00574234],"category_scores_gemma":[0.09943788,0.0006460145,0.0009068374,0.001026988,0.002848431,0.005392119,0.002557634,0.002777867,0.001087138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001942211,"about_ca_system_score_gemma":0.001158419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083934,"about_ca_topic_score_gemma":0.001174789,"domain_scores_codex":[0.9937397,0.003298782,0.000278007,0.0008289915,0.001487496,0.0003669244],"domain_scores_gemma":[0.9444554,0.04711174,0.002094577,0.003653635,0.002385882,0.0002987197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008398865,0.00003139953,0.004779759,0.0004081019,0.0001252497,0.0001264111,0.0002624672,0.06806891,0.001854612,0.8655118,0.003056061,0.05569137],"study_design_scores_gemma":[0.00002144756,0.0000368817,0.002635473,0.0001000677,0.00003192685,0.0002876175,0.00004068386,0.3663976,0.001844087,0.6243005,0.004261809,0.00004186836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0102938,0.001269329,0.9843996,0.0008753292,0.00009672449,0.00001877944,0.000133392,0.0002437065,0.002669353],"genre_scores_gemma":[0.6451361,0.003688544,0.336528,0.001726389,0.0007812044,0.0002840285,0.000776124,0.0007658539,0.01031385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01667016,"threshold_uncertainty_score":0.08816123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607549504092582,"score_gpt":0.2577360221533818,"score_spread":0.0969810717441236,"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."}}