{"id":"W2012658366","doi":"10.1081/sac-120017863","title":"Efficiency and Validity Analyses of Two-Stage Estimation Procedures and Derived Testing Procedures in Quantitative Linear Models with AR(1) Errors","year":2003,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Harran Üniversitesi; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Mathematics; Autoregressive model; Estimator; Statistics; Autocorrelation; Generalized least squares; Ordinary least squares; Least-squares function approximation; Applied mathematics; Monte Carlo method","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000543942,0.0001623935,0.0003009543,0.0002242608,0.0001627147,0.00003303965,0.00007817568,0.00004906119,0.000001030922],"category_scores_gemma":[0.004947837,0.0001526261,0.000008502034,0.0004118184,0.0002928512,0.0002364397,0.00005544889,0.0001511054,8.076952e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003116819,"about_ca_system_score_gemma":0.00009221685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005843993,"about_ca_topic_score_gemma":0.0003360328,"domain_scores_codex":[0.9984805,0.0003998418,0.00056657,0.0002537199,0.000162348,0.0001370225],"domain_scores_gemma":[0.993084,0.006002367,0.0003326241,0.0002181374,0.0003110189,0.00005189381],"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":[0.00002719892,0.0001078084,0.001386081,0.000231711,0.000006932744,6.349252e-7,0.001794439,0.728343,0.0001062931,0.265226,3.328566e-7,0.002769566],"study_design_scores_gemma":[0.0005894593,0.0000875072,0.002219493,0.00013719,0.00002631056,0.000001974335,0.0004905555,0.6416739,0.00003749291,0.3546306,3.279947e-7,0.0001051351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277451,0.0001611761,0.7715121,0.00001575763,0.000005180448,0.0003873832,0.00004157546,0.00001871997,0.0001130021],"genre_scores_gemma":[0.5047237,0.00004072321,0.4951847,0.000006315085,7.517385e-7,0.00001654099,0.00001619007,0.000008673785,0.000002328755],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2769786,"threshold_uncertainty_score":0.6223913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5240564696317379,"score_gpt":0.5675928333192254,"score_spread":0.04353636368748748,"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."}}