{"id":"W3041871434","doi":"10.1002/cjs.11558","title":"Copula‐based predictions in small area estimation","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba; Hospital for Sick Children; Statistics Canada","funders":"","keywords":"Small area estimation; Copula (linguistics); Estimator; Best linear unbiased prediction; Econometrics; Statistics; Parametric statistics; Multivariate statistics; Mean squared error; Unbiased Estimation; Mathematics; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002529367,0.0001020234,0.0002513061,0.0001582552,0.00005964231,0.00004931735,0.0001464623,0.0000577147,0.0003503609],"category_scores_gemma":[0.006716147,0.00009781131,0.00003200272,0.0002293258,0.0000768942,0.00004934735,0.000004220908,0.0002775938,0.000006416635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177317,"about_ca_system_score_gemma":0.00103947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005458044,"about_ca_topic_score_gemma":0.008487782,"domain_scores_codex":[0.9989621,0.00008954648,0.0005248844,0.00009044084,0.0001201578,0.0002128593],"domain_scores_gemma":[0.9979159,0.0009016138,0.0002198317,0.00008409534,0.00021539,0.0006631911],"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":[0.0000411016,0.00005006622,0.009091738,0.000251514,0.00003640368,0.001109225,0.001504643,0.001198909,0.00002986129,0.9171117,0.02351945,0.04605537],"study_design_scores_gemma":[0.0006733654,0.0003117973,0.006673661,0.0001998205,0.00007701851,0.00003918819,0.0001345205,0.2044144,0.00003410344,0.7860397,0.001225646,0.0001767289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001652092,0.00002419494,0.9960769,0.0009874831,0.0001629759,0.00008950666,0.0006657764,0.000006447361,0.0003345735],"genre_scores_gemma":[0.2074233,0.00000227853,0.792181,0.0003142951,0.00005237376,0.000001615522,0.000007772942,0.00001220116,0.000005151038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2057713,"threshold_uncertainty_score":0.8040341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204992895991974,"score_gpt":0.3237608917039106,"score_spread":0.2032616021047132,"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."}}