{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001125864,0.0003664481,0.0007785193,0.0001495123,0.0001547171,0.00005570255,0.0004856377,0.0002715155,0.002717725],"category_scores_gemma":[0.008350574,0.0002862691,0.00008990425,0.00021138,0.002531268,0.00007225332,0.00007927169,0.0003616133,0.00006354153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007903859,"about_ca_system_score_gemma":0.0008794633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007920076,"about_ca_topic_score_gemma":0.000007154952,"domain_scores_codex":[0.9971311,0.000184293,0.0008533313,0.0005859425,0.0008005464,0.0004447802],"domain_scores_gemma":[0.9903773,0.008511572,0.0004605374,0.0002950009,0.0001434798,0.0002121177],"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":[0.000004132333,0.00004907081,0.00001946037,0.0002367532,0.00001347829,0.00001373608,0.00005928372,9.256705e-7,8.025166e-7,0.8978393,0.04343656,0.05832647],"study_design_scores_gemma":[0.0001041239,0.0002400726,0.00005730015,0.0002577025,0.000111082,0.000007779869,0.00001224137,0.0008514487,0.000006040478,0.9773644,0.02064299,0.0003448162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004188146,0.00004810619,0.5239148,0.00002559116,0.0002195839,0.0001708545,0.0002757086,0.00002453108,0.4753167],"genre_scores_gemma":[0.000021461,0.0001476627,0.8922656,0.00004279833,0.00007447657,0.00001897073,0.00002704432,0.00002531378,0.1073767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3683509,"threshold_uncertainty_score":0.9999589,"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."}}