{"id":"W2748169160","doi":"10.1111/insr.12230","title":"Stratification of Skewed Populations: A Comparison of Optimisation‐based versus Approximate Methods","year":2017,"lang":"en","type":"article","venue":"International Statistical Review","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Estimator; Mathematics; Flexibility (engineering); Mathematical optimization; Population; Stratum; Computer science; Statistics; Stratification (seeds); Sample size determination; Econometrics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0391808,0.0007185503,0.001951105,0.001833844,0.0004257419,0.002066951,0.00176484,0.001405483,0.002356053],"category_scores_gemma":[0.112331,0.0005128256,0.001491093,0.002134068,0.002019641,0.002595841,0.002635604,0.001675564,0.0005200129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558877,"about_ca_system_score_gemma":0.001832005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975456,"about_ca_topic_score_gemma":0.00144994,"domain_scores_codex":[0.9561408,0.03873268,0.001026674,0.0009431695,0.002845102,0.0003115988],"domain_scores_gemma":[0.9262015,0.06487757,0.002401702,0.003907265,0.002294704,0.0003173147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006168187,0.00008952668,0.007519481,0.001858343,0.0008208238,0.00007612487,0.001108007,0.1666448,0.0003003787,0.3185407,0.005215106,0.4972098],"study_design_scores_gemma":[0.0004320636,0.0006934943,0.01006152,0.001547685,0.0003745296,0.0002396792,0.0005444078,0.4799517,0.000625542,0.4797181,0.02569027,0.0001210629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01571584,0.01863584,0.9561442,0.002301367,0.0002110883,0.0002962726,0.0001114556,0.0001606278,0.006423265],"genre_scores_gemma":[0.3621315,0.02295258,0.6084237,0.001250956,0.000565215,0.001060312,0.0005093112,0.0002403394,0.002865938],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0391808,"threshold_uncertainty_score":0.2072104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4317204470670315,"score_gpt":0.6023179494079958,"score_spread":0.1705975023409643,"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."}}