{"id":"W1511044732","doi":"","title":"Hot Deck Imputation for the Response Model","year":2005,"lang":"en","type":"article","venue":"Iowa State University Digital Repository (Iowa State University)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"National Agricultural Statistics Service; Iowa State University","keywords":"Imputation (statistics); Monte Carlo method; Estimator; Statistics; Computer science; Missing data; Variance (accounting); Deck; Mathematics; Econometrics; Applied mathematics; 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":[0.047636,0.001393145,0.004516799,0.002632811,0.002222522,0.003324726,0.005579338,0.00285172,0.04458985],"category_scores_gemma":[0.1501124,0.001799448,0.003109981,0.007722856,0.001423709,0.003508647,0.004283949,0.006886592,0.01558426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900878,"about_ca_system_score_gemma":0.004492445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293895,"about_ca_topic_score_gemma":0.004517154,"domain_scores_codex":[0.9122454,0.07231063,0.003171132,0.005221643,0.005562813,0.001488451],"domain_scores_gemma":[0.9160554,0.0431164,0.002725165,0.03000144,0.007498212,0.0006034913],"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":[0.001038692,0.0003641313,0.009235628,0.00120792,0.001415006,0.0004458092,0.001284142,0.05567804,0.0006325497,0.3605632,0.1070843,0.4610505],"study_design_scores_gemma":[0.0003641508,0.00053388,0.006738805,0.0007638364,0.0005292272,0.0008910908,0.0005573973,0.312097,0.002352295,0.5612603,0.113627,0.0002850059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00235399,0.0001927,0.9897577,0.0003288966,0.0002062014,0.0007770592,0.002832151,0.0005897745,0.002961584],"genre_scores_gemma":[0.06574716,0.0004444824,0.9064841,0.0006385859,0.0001839465,0.004843298,0.006844399,0.0006497786,0.01416427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.047636,"threshold_uncertainty_score":0.2519262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194455000218778,"score_gpt":0.2690507851653187,"score_spread":0.2371062351631309,"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."}}