{"id":"W2407525010","doi":"10.1002/sam.11313","title":"Fast robust SUR with economical and actuarial applications","year":2016,"lang":"en","type":"article","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outlier; Estimator; Computer science; Robust statistics; Covariance; Multivariate statistics; Robust regression; Generalization; Algorithm; Econometrics; Mathematics; Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005424934,0.0009014335,0.001387852,0.001950498,0.0006524259,0.001704782,0.001883943,0.001557425,0.005940362],"category_scores_gemma":[0.02757612,0.0008254966,0.001140751,0.001637739,0.001098841,0.002540615,0.003710225,0.001923707,0.001228002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145397,"about_ca_system_score_gemma":0.002054881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005784015,"about_ca_topic_score_gemma":0.005395811,"domain_scores_codex":[0.9975256,0.001058453,0.000159837,0.0004162496,0.0006851238,0.000154755],"domain_scores_gemma":[0.9858241,0.009470685,0.001002279,0.00217188,0.001332628,0.0001982889],"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":[0.000127246,0.00005634575,0.002977173,0.0001104619,0.00008343864,0.0001453483,0.00007187643,0.7647261,0.0009719211,0.05651468,0.003019692,0.1711957],"study_design_scores_gemma":[0.000006311949,0.00001891266,0.0002434975,0.000007671613,0.000003766263,0.0000484714,0.00001023608,0.9788608,0.0004301993,0.01922607,0.00113613,0.000007985567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01034461,0.0003532468,0.9864064,0.0002356393,0.00004374505,0.00004239204,0.0001601068,0.001096746,0.001317119],"genre_scores_gemma":[0.3739134,0.0004126872,0.6202222,0.0002166386,0.0001581195,0.0002180749,0.0008833096,0.0004158063,0.003559784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005940362,"threshold_uncertainty_score":0.0286901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.224123729836376,"score_gpt":0.4341166368761696,"score_spread":0.2099929070397936,"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."}}