{"id":"W1573897819","doi":"10.1002/9781118162934.ch5","title":"Estimating Proportions, Ratios, and Subpopulation Means","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Statistics; Confidence interval; Mathematics; Estimator; Simple random sample; Sample size determination; Population; Sample (material); CDF-based nonparametric confidence interval; Population mean; Sampling (signal processing); Tolerance interval; Econometrics; Computer science; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002488127,0.0003036915,0.0005799973,0.0003338433,0.0001623367,0.0003819211,0.0002457301,0.0002777488,0.006738547],"category_scores_gemma":[0.01222504,0.000252719,0.00002731566,0.0003155627,0.0004829109,0.0003678856,0.0002400223,0.0002610451,0.00004249372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005072401,"about_ca_system_score_gemma":0.0000810834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646048,"about_ca_topic_score_gemma":0.003660968,"domain_scores_codex":[0.9965848,0.0004039761,0.00113677,0.0007197369,0.0008525543,0.0003021829],"domain_scores_gemma":[0.9972563,0.001163602,0.0006220159,0.0006521135,0.0001709877,0.0001349162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007922119,0.0001543148,0.08846498,0.0005027031,0.0000245785,0.00001932131,0.001730143,0.0001489203,0.000006386678,0.06229321,0.4298895,0.4166867],"study_design_scores_gemma":[0.0003859991,0.00007762956,0.01807057,0.0006653326,0.0000369227,0.00004076213,0.0002854399,0.03589737,0.000001246436,0.5029398,0.4409845,0.0006143627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002568008,0.004024743,0.9315232,0.0005292535,0.003392724,0.003711831,0.01328668,0.0003011646,0.04066237],"genre_scores_gemma":[0.002266484,0.0001384515,0.9489997,0.00004304776,0.0002086495,0.0000728885,0.0003572203,0.0001159685,0.04779756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4406466,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099861096124244,"score_gpt":0.3873108044533088,"score_spread":0.2773246948408845,"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."}}