{"id":"W2788130816","doi":"10.17713/ajs.v41i4.1548","title":"Robust Unit-Level Small Area Estimation: A Fast Algorithm for Large Datasets","year":2022,"lang":"en","type":"article","venue":"Austrian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Universität Trier","keywords":"Robustification; Outlier; Small area estimation; Estimator; Algorithm; Mathematics; Computer science; Statistics; Data mining","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":[0.001491562,0.0002088697,0.0004948563,0.0001418121,0.0003861641,0.00004824524,0.0003552219,0.00004966759,0.0003613255],"category_scores_gemma":[0.002749534,0.0001974013,0.00008846591,0.0001948142,0.00004689239,0.0001229165,0.0001323761,0.0004839244,0.000001688569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067069,"about_ca_system_score_gemma":0.0002178993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002384745,"about_ca_topic_score_gemma":0.000006144298,"domain_scores_codex":[0.997834,0.0002103029,0.0009132873,0.0001950062,0.0004579627,0.0003894891],"domain_scores_gemma":[0.9953317,0.002974575,0.0008276274,0.0002620626,0.00036913,0.0002349215],"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":[0.0002089956,0.0005283199,0.00001483664,0.0001618446,0.0002525942,0.0004829582,0.0007334835,0.008181331,0.00002246921,0.4460734,0.07344149,0.4698983],"study_design_scores_gemma":[0.003318107,0.0009377343,0.0000263706,0.00005861506,0.0003439873,0.0004070433,0.001159681,0.2897695,0.00003447655,0.6757501,0.02786741,0.0003270193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008146511,0.0000328725,0.9290054,0.0001384873,0.0004336948,0.0003030553,0.06996553,0.00001311525,0.0000264115],"genre_scores_gemma":[0.001433899,0.00001194066,0.9972584,0.0001044243,0.0001470675,0.00002724575,0.0006114148,0.0000451027,0.0003605465],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4695712,"threshold_uncertainty_score":0.8049792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3457107323972113,"score_gpt":0.417766968017589,"score_spread":0.07205623562037772,"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."}}