{"id":"W2061337431","doi":"10.1080/01621459.2000.10474281","title":"Jackknife Variance Estimation under Imputation for Estimators Using Poststratification Information","year":2000,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Statistics Canada","funders":"","keywords":"Jackknife resampling; Estimator; Statistics; Imputation (statistics); Mathematics; Weighting; Econometrics; Missing data","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":[0.001720962,0.0001351117,0.000304561,0.0001054202,0.0002142848,0.0001324901,0.0001740541,0.00006763786,0.00004094302],"category_scores_gemma":[0.004948184,0.0001058752,0.0001162723,0.0003627849,0.00006184535,0.0007034547,0.000009324329,0.0001783466,0.000009303857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259481,"about_ca_system_score_gemma":0.0001590035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000557648,"about_ca_topic_score_gemma":0.000003055802,"domain_scores_codex":[0.997983,0.0002532016,0.0009214663,0.00009524191,0.0005550035,0.0001920363],"domain_scores_gemma":[0.9946814,0.002066616,0.002356651,0.0001539678,0.0006790932,0.00006225061],"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":[0.001078399,0.0005855127,0.008501122,0.0002854895,0.0005369393,0.000001272338,0.001978449,0.1324833,0.00187909,0.1608324,0.02749919,0.6643388],"study_design_scores_gemma":[0.000647723,0.0002706399,0.05774311,0.0001052742,0.000269986,0.00003504593,0.0001665956,0.3846382,0.000796358,0.5547248,0.0003537343,0.0002485141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1995094,0.000003120371,0.7991226,0.0007901847,0.0001459471,0.0002542356,0.00007430896,0.00004163563,0.00005853648],"genre_scores_gemma":[0.5180125,0.000004159617,0.481631,0.0001924664,0.00007081398,0.000008675926,0.00002477655,0.00001279453,0.00004279703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6640902,"threshold_uncertainty_score":0.5923796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967785128842156,"score_gpt":0.3694318726392187,"score_spread":0.3297540213507971,"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."}}