{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589226,0.000119594,0.0002644084,0.0001484169,0.0001015403,0.00004633501,0.0001467317,0.00005764592,0.0001252241],"category_scores_gemma":[0.003347903,0.0001078896,0.00004083547,0.00009720932,0.00005890535,0.00008402558,0.000002797897,0.0002249714,0.000004058667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001243131,"about_ca_system_score_gemma":0.0005154154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009386674,"about_ca_topic_score_gemma":0.001883228,"domain_scores_codex":[0.9989679,0.00005135483,0.0004717452,0.00008919645,0.0001448321,0.0002749998],"domain_scores_gemma":[0.9980313,0.0005929938,0.0002776256,0.000129541,0.0003515645,0.0006170457],"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":[0.00001205188,0.00002255159,0.00003125745,0.0000258917,0.00001846868,0.0004155887,0.0003738615,0.003281338,0.00002536989,0.8076657,0.01034323,0.1777847],"study_design_scores_gemma":[0.000252609,0.0002187901,0.0004312331,0.00007157843,0.00005849927,0.0001325913,0.00005029918,0.01674877,0.00002677548,0.9801727,0.001706366,0.0001298088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001387727,0.0000721421,0.9966629,0.0003023307,0.0002077602,0.00007095675,0.000235638,0.000006474694,0.001054061],"genre_scores_gemma":[0.07236881,0.00001028946,0.9271545,0.000218169,0.00007276103,4.419344e-7,0.000005351657,0.00001326287,0.0001563775],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1776549,"threshold_uncertainty_score":0.4399612,"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."}}