{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006713538,0.00009888109,0.0001544008,0.0003637893,0.0003250542,0.0002105359,0.0004471335,0.00008696086,0.0003938185],"category_scores_gemma":[0.003613899,0.00008706934,0.0000624182,0.0002127374,0.00006509606,0.0001571377,0.00009834506,0.00006911591,0.0001769452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002744075,"about_ca_system_score_gemma":0.00001284672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007008482,"about_ca_topic_score_gemma":0.000003362522,"domain_scores_codex":[0.9992781,0.00002571664,0.0001800796,0.0001607129,0.0001850776,0.0001703648],"domain_scores_gemma":[0.9986687,0.0001995922,0.0001790198,0.0008096413,0.00008189676,0.00006111529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005028961,0.0004152218,0.02442503,0.0001983456,0.0001322302,0.00002242238,0.0003304223,1.615451e-7,0.008576501,0.0373375,0.3649647,0.5635472],"study_design_scores_gemma":[0.001628979,0.0002627626,0.2514065,0.0002059098,0.00009086757,0.00002825008,0.0001193975,0.0005350619,0.2035578,0.3492999,0.1916814,0.001183158],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6911315,0.0002867348,0.164702,0.001775613,0.002123744,0.0007111898,0.00008286113,0.002740205,0.1364462],"genre_scores_gemma":[0.9217978,0.0000145826,0.07524982,0.00004982149,0.0001040764,0.00001574121,0.000007692578,0.00002056632,0.002739936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.562364,"threshold_uncertainty_score":0.4326436,"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."}}