{"id":"W2096040912","doi":"10.1002/cjs.10029","title":"Robust small area estimation","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Small area estimation; Estimator; Outlier; Statistics; Mean squared error; Mathematics; Robustness (evolution); Robust statistics; Parametric statistics; Covariance; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005991514,0.001193356,0.002466246,0.002949073,0.0005180642,0.001890192,0.00312004,0.001556783,0.005478797],"category_scores_gemma":[0.03644295,0.0007522409,0.001929676,0.002872121,0.001354967,0.002631739,0.002236648,0.001825654,0.00176954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000751171,"about_ca_system_score_gemma":0.001332468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004389612,"about_ca_topic_score_gemma":0.002447169,"domain_scores_codex":[0.9952613,0.002130811,0.0002415586,0.001073623,0.00104826,0.0002445501],"domain_scores_gemma":[0.9807114,0.0126326,0.00141327,0.002933229,0.002149,0.0001603807],"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":[0.0001697117,0.0000776677,0.004094088,0.0003287116,0.0005423597,0.0001979212,0.00009330635,0.6017399,0.002710866,0.1090064,0.008440443,0.2725987],"study_design_scores_gemma":[0.00001362181,0.00003339643,0.0009765379,0.00002822275,0.00003373677,0.0000675866,0.00001756124,0.9523445,0.001173145,0.04177325,0.003514392,0.00002406533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002326248,0.000305035,0.996114,0.00007652504,0.000035249,0.00002435371,0.0001143689,0.0002336794,0.0007705072],"genre_scores_gemma":[0.3583434,0.001212461,0.6309198,0.0002627827,0.0004442735,0.000380621,0.001944371,0.0004546502,0.006037762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005991514,"threshold_uncertainty_score":0.03168654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1944350222287364,"score_gpt":0.3575785715294745,"score_spread":0.1631435493007382,"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."}}