{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003554847,0.0001523502,0.000354941,0.0001228679,0.0008180257,0.0004731485,0.001582211,0.00002967956,0.0001158929],"category_scores_gemma":[0.00337227,0.0000679024,0.00001586022,0.0004254986,0.001661121,0.001343486,0.001409068,0.0001770425,0.000002451048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002227294,"about_ca_system_score_gemma":0.0001616113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002148719,"about_ca_topic_score_gemma":0.00009614649,"domain_scores_codex":[0.9979745,0.000104158,0.0004118211,0.000758369,0.0003893517,0.0003618457],"domain_scores_gemma":[0.9938824,0.003893918,0.0002153081,0.001533232,0.0001126844,0.0003624334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001409513,0.00009895126,0.004970924,0.00001792073,0.0005113948,0.00002177535,0.0001788039,0.00002625088,0.0002569693,0.3571384,0.002399771,0.6342379],"study_design_scores_gemma":[0.001952247,0.0003417949,0.02379058,0.0001165338,0.004867909,0.000480725,0.001205288,0.5275833,0.00002999874,0.4328173,0.005908397,0.0009059496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00815704,0.00002533263,0.9858789,0.0009112672,0.0000257152,0.00009294398,0.004827163,0.000009628948,0.00007194082],"genre_scores_gemma":[0.08941454,0.0001278191,0.9101181,0.00005761226,0.0001369892,0.000004446124,0.00010124,0.000009187174,0.00003004448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6333319,"threshold_uncertainty_score":0.6291675,"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."}}