{"id":"W2759870632","doi":"10.1093/biomet/asx007","title":"OUP accepted manuscript","year":2017,"lang":"en","type":"article","venue":"Biometrika","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Jackknife resampling; Imputation (statistics); Robustness (evolution); Estimator; Mathematics; Covariate; Missing data; Statistics; Simple random sample; Econometrics; Population; Medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002473962,0.0009831899,0.001339452,0.002265363,0.001833378,0.007106518,0.00223844,0.003000441,0.7437564],"category_scores_gemma":[0.01198115,0.0005490614,0.001038873,0.00228744,0.001197041,0.002221213,0.004675443,0.002463064,0.6316859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356007,"about_ca_system_score_gemma":0.002116496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675715,"about_ca_topic_score_gemma":0.002639858,"domain_scores_codex":[0.9977471,0.0005283704,0.0001511303,0.0006249769,0.0006849421,0.0002633267],"domain_scores_gemma":[0.9958233,0.0007296636,0.0002086233,0.001123504,0.001371487,0.0007435314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005098688,0.0002253769,0.001813036,0.000898789,0.00007168601,0.0007547228,0.0003898934,0.0004320944,0.002052932,0.04214376,0.5967094,0.3539985],"study_design_scores_gemma":[0.00002705229,0.00004270053,0.0005971413,0.0001272547,0.000007397186,0.0001633386,0.00006446586,0.0001438056,0.0004387246,0.003811846,0.9945687,0.000007477126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004620791,0.005005109,0.01023112,0.01050213,0.01885281,0.0004874646,0.01124213,0.002050951,0.9370075],"genre_scores_gemma":[0.01319754,0.002214859,0.003676691,0.001434198,0.001530207,0.0001403424,0.006163385,0.0007661943,0.9708766],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2562436,"threshold_uncertainty_score":0.3655003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.358109777955419,"score_gpt":0.4504804658716225,"score_spread":0.09237068791620356,"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."}}