{"id":"W2516009469","doi":"10.1002/cjs.11296","title":"Unit level small area estimation with copulas","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Copula (linguistics); Statistics; Estimator; Multivariate statistics; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342333,0.000136874,0.0002703718,0.0001666344,0.0000930547,0.00005392516,0.0001819885,0.00005726782,0.0005581992],"category_scores_gemma":[0.003571465,0.00008250399,0.00002552224,0.000123897,0.0001815085,0.00007833465,0.000005514119,0.0001419589,0.0000145461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158121,"about_ca_system_score_gemma":0.001130502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005630014,"about_ca_topic_score_gemma":0.01587903,"domain_scores_codex":[0.9989242,0.00007950149,0.0004252597,0.00009646673,0.0001888661,0.0002857001],"domain_scores_gemma":[0.9967835,0.00158853,0.0003228457,0.0001560924,0.0005379523,0.0006110628],"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":[0.0000253234,0.0000140616,0.003870252,0.00004819229,0.00004652185,0.0004620884,0.0001928237,0.000002158056,0.00004073199,0.7874156,0.005236656,0.2026456],"study_design_scores_gemma":[0.0006548067,0.0003613546,0.009211637,0.0004554337,0.0001043076,0.0003256483,0.00006554834,0.000456205,0.0001326987,0.9861844,0.00184563,0.0002023928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003722448,0.00001577374,0.9941404,0.0003406259,0.000158514,0.00007127996,0.001001028,0.000005517186,0.0005443856],"genre_scores_gemma":[0.1233558,0.000005593029,0.8762965,0.00006282099,0.00004291656,0.000001264241,0.000002551301,0.00002046577,0.0002120841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2024432,"threshold_uncertainty_score":0.8860871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.16790825498622,"score_gpt":0.3276110990539593,"score_spread":0.1597028440677393,"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."}}