{"id":"W106751956","doi":"","title":"MEAN SQUARED ERROR ESTIMATION FOR SMALL AREAS WHEN THE SMALL AREA VARIANCES ARE ESTIMATED","year":2003,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mean squared error; Estimator; Small area estimation; Statistics; Mathematics; Estimation; Minimum mean square error; Generalization; Efficient estimator; Mean square; Minimum-variance unbiased estimator","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":[0.004021313,0.0002478792,0.0003300832,0.0002271139,0.0005432886,0.0005941005,0.0006847383,0.0001274326,0.0003988062],"category_scores_gemma":[0.004651138,0.0001437912,0.0002051888,0.0006813005,0.000106444,0.0002693508,0.00003286505,0.0001211696,0.0001116959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702514,"about_ca_system_score_gemma":0.00008748085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170005,"about_ca_topic_score_gemma":0.001428483,"domain_scores_codex":[0.9970959,0.0002804959,0.0008233546,0.0006471321,0.0007557748,0.0003972987],"domain_scores_gemma":[0.9957722,0.002051766,0.0004903866,0.0007750999,0.0007811118,0.0001293846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005303291,0.0007587684,0.02640086,0.0001069066,0.0002909735,0.00001494878,0.01120034,0.4216014,0.00044054,0.253874,0.03621605,0.2485649],"study_design_scores_gemma":[0.0005693878,0.0000725595,0.003017315,0.00004330928,0.00005496415,0.00001032605,0.003681957,0.7277955,0.0002063655,0.2609644,0.003352188,0.0002317151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1306745,0.0001802619,0.8560145,0.002227958,0.0004845281,0.000692402,0.00002967304,0.0001991514,0.009496992],"genre_scores_gemma":[0.9034237,0.00001039445,0.09305476,0.0005699595,0.00002855176,0.0001405144,0.0000341537,0.0000227242,0.002715204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7727492,"threshold_uncertainty_score":0.5863634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2950836227250689,"score_gpt":0.3730889181932608,"score_spread":0.07800529546819185,"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."}}