{"id":"W1484712862","doi":"10.1002/0471667196.ess0731","title":"Small Area Estimation","year":2003,"lang":"en","type":"book","venue":"Encyclopedia of Statistical Sciences","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Small area estimation; Mathematics; Statistics; Exponential family; Estimator; Linear model; Generalized linear mixed model; Generalized linear model; Bayes' theorem; Multivariate statistics; Bayesian probability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003399595,0.0008633145,0.001425855,0.002215592,0.0006318487,0.001580777,0.00202789,0.0008466952,0.02318112],"category_scores_gemma":[0.02732593,0.000523001,0.001342378,0.002463366,0.0008377467,0.002350436,0.001786882,0.001358684,0.004318276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005584674,"about_ca_system_score_gemma":0.0008834772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510436,"about_ca_topic_score_gemma":0.003477101,"domain_scores_codex":[0.9978685,0.00105015,0.00007566439,0.0004956542,0.0004272383,0.00008268777],"domain_scores_gemma":[0.989616,0.007432074,0.0004494514,0.001310006,0.001072306,0.0001201005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001455566,0.00006998568,0.009715043,0.0005417642,0.0004388186,0.000189323,0.0003163339,0.09401207,0.001376384,0.2538614,0.0288059,0.6105273],"study_design_scores_gemma":[0.00007077987,0.0001050859,0.01044271,0.0003628236,0.0002204745,0.0003575573,0.0002807719,0.4081918,0.002135121,0.4936541,0.08411846,0.00006025708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005951624,0.001372034,0.9777256,0.0002830152,0.0001715726,0.0001134847,0.0005140712,0.0003888387,0.01347969],"genre_scores_gemma":[0.2838063,0.003291471,0.66713,0.0004331959,0.0006130648,0.00105892,0.003599404,0.0005512395,0.03951647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02318112,"threshold_uncertainty_score":0.07754856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08328228167444557,"score_gpt":0.3568004655121695,"score_spread":0.273518183837724,"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."}}