{"id":"W2055286975","doi":"10.1016/j.jmva.2014.01.005","title":"Corrigendum to “Ridge regression estimation approach to measurement error model” [J. Multivariate Anal. 123 (2014) 68–84]","year":2014,"lang":"en","type":"erratum","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Multivariate statistics; Ridge; Statistics; Estimation; Regression; Econometrics; Applied mathematics; Geography","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006504653,0.001152071,0.003776787,0.002450099,0.0003394061,0.0001966537,0.001176906,0.0008558404,0.00009613835],"category_scores_gemma":[0.009149288,0.0008551444,0.001554206,0.001628974,0.00005562587,0.0003274535,0.0003462892,0.001898842,0.00006611148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009688892,"about_ca_system_score_gemma":0.0004839235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002016654,"about_ca_topic_score_gemma":0.00006067549,"domain_scores_codex":[0.9902933,0.001163311,0.003173632,0.001190191,0.003208619,0.000970926],"domain_scores_gemma":[0.9901409,0.0004357226,0.003698193,0.001419016,0.003067502,0.001238708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006490953,0.001105706,0.000007927106,0.0005268967,0.005816632,0.00004214086,0.001706211,0.399838,0.001095457,0.004130141,0.5730678,0.01201392],"study_design_scores_gemma":[0.00103141,0.0003008277,0.0001385517,0.0008457943,0.009185106,0.0000128311,0.00008862494,0.944898,0.0000775521,0.02271755,0.01970531,0.0009984468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004859608,0.0001896547,0.9900891,0.0004081973,0.005248336,0.0008185392,0.0002289171,0.00006220987,0.002906424],"genre_scores_gemma":[0.006272599,0.0000664028,0.9660649,0.0002977246,0.001114738,0.00006952738,0.0001539784,0.0001992976,0.02576079],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5533625,"threshold_uncertainty_score":0.9993899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107268215922228,"score_gpt":0.4317705937960079,"score_spread":0.221043772203785,"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."}}