{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007845167,0.0006036812,0.00122718,0.001274927,0.0003347365,0.0008719346,0.001779175,0.0007956412,0.002579191],"category_scores_gemma":[0.04203917,0.0006242314,0.001363187,0.001660625,0.0007286356,0.001230736,0.001303165,0.001172347,0.000749229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491925,"about_ca_system_score_gemma":0.001507436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393694,"about_ca_topic_score_gemma":0.005885054,"domain_scores_codex":[0.9960147,0.002652372,0.000133435,0.000649724,0.0004500264,0.00009971207],"domain_scores_gemma":[0.9757117,0.01666599,0.001790825,0.004279392,0.00135317,0.0001989903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004053357,0.000220332,0.04833768,0.000365512,0.0005897835,0.0001563717,0.000474438,0.5694861,0.0040063,0.05874037,0.005879093,0.3113388],"study_design_scores_gemma":[0.00007059571,0.0001637728,0.006062912,0.00003780086,0.00008101197,0.0001192284,0.00005290849,0.9305199,0.002149833,0.05526622,0.005432018,0.0000438447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01272338,0.00008151241,0.9861828,0.00006079578,0.00002527505,0.00004278831,0.0001812182,0.0003823623,0.0003199592],"genre_scores_gemma":[0.4107485,0.0002341987,0.5844136,0.000160093,0.00007247178,0.0005951832,0.001776812,0.0002164679,0.001782756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007845167,"threshold_uncertainty_score":0.04148966,"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."}}