{"id":"W4385401029","doi":"10.1002/cjs.11787","title":"Smoothed model‐assisted small area estimation of proportions","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Small area estimation; Estimation; Statistics; Computer science; Environmental science; Mathematics; Economics; Estimator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001446324,0.00007854302,0.0002228419,0.0009590981,0.0001316633,0.00009208493,0.0002906519,0.0000526527,0.0003849561],"category_scores_gemma":[0.004076464,0.00006408658,0.00007371061,0.0009939976,0.0001114346,0.0001169915,0.000007142484,0.0001160555,0.00004005124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004328417,"about_ca_system_score_gemma":0.001293537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005165046,"about_ca_topic_score_gemma":0.01121507,"domain_scores_codex":[0.9981095,0.0000584331,0.0009536382,0.0001129525,0.0005734704,0.0001919637],"domain_scores_gemma":[0.9970176,0.0005129552,0.0007206749,0.0001966482,0.001215644,0.0003365225],"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":[0.00001563914,0.00002017057,0.002041094,0.0000175537,0.00003722023,0.00009640052,0.001600514,0.7928098,0.00008780292,0.01311058,0.06950852,0.1206547],"study_design_scores_gemma":[0.0001538043,0.00005963854,0.00937573,0.00004425672,0.00003148356,0.00002361848,0.000594788,0.8635988,0.000008994498,0.124977,0.001062584,0.00006927142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1433694,0.00001978943,0.8536389,0.0003489182,0.0002592797,0.00007035636,0.001685737,0.000009663861,0.0005979129],"genre_scores_gemma":[0.9304388,0.00001396342,0.06889614,0.00003938965,0.00001626695,0.000001715109,0.0000752193,0.00001000505,0.0005085564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870693,"threshold_uncertainty_score":0.6258273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2518258356864694,"score_gpt":0.3550095029976552,"score_spread":0.1031836673111858,"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."}}