{"id":"W2028152993","doi":"10.1002/cjs.5550340112","title":"Imputation using response probability","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imputation (statistics); Mathematics; Estimator; Statistics; Missing data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05352198,0.001791347,0.004490793,0.007287459,0.001036537,0.003839101,0.007150819,0.00475939,0.01223533],"category_scores_gemma":[0.2187174,0.001303378,0.005487047,0.008910596,0.00149669,0.004555418,0.004053196,0.005536593,0.007398933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062307,"about_ca_system_score_gemma":0.001869638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110959,"about_ca_topic_score_gemma":0.0007501163,"domain_scores_codex":[0.8863647,0.08942246,0.004561308,0.008106395,0.01047806,0.001067101],"domain_scores_gemma":[0.8780699,0.08788668,0.006755635,0.01737286,0.009174022,0.0007407573],"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":[0.0006103672,0.0004344851,0.00929337,0.001692768,0.002534749,0.0004175073,0.0006930351,0.01336144,0.001164613,0.1540372,0.02525683,0.7905036],"study_design_scores_gemma":[0.001654301,0.001515581,0.008132989,0.001309316,0.002558054,0.00400443,0.0003217516,0.2868983,0.00798277,0.5494328,0.1355663,0.0006233864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008092039,0.0004225643,0.9958373,0.0006606107,0.0002672618,0.0002817189,0.000243947,0.0003598453,0.001117426],"genre_scores_gemma":[0.05514666,0.001057202,0.9343821,0.001531231,0.0008551265,0.001912817,0.001169416,0.0003195968,0.003625815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05352198,"threshold_uncertainty_score":0.2830546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07531166977525713,"score_gpt":0.3441406675702469,"score_spread":0.2688289977949897,"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."}}