{"id":"W2134699177","doi":"10.1093/swr/30.1.19","title":"Imputing Missing Data: A Comparison of Methods for Social Work Researchers","year":2006,"lang":"en","type":"article","venue":"Social Work Research","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":233,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Missing data; Imputation (statistics); Computer science; Multivariate statistics; Data science; Data mining; Statistics; Mathematics; Machine learning","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3164416,0.002596403,0.004588148,0.0113796,0.002746233,0.008799257,0.005496863,0.005248734,0.003787297],"category_scores_gemma":[0.5273373,0.00236315,0.005075891,0.01257323,0.005515456,0.01023611,0.007699716,0.005898484,0.001200679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00459443,"about_ca_system_score_gemma":0.007968366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002874338,"about_ca_topic_score_gemma":0.003577112,"domain_scores_codex":[0.6135948,0.3327614,0.01406699,0.005351578,0.03306101,0.001164172],"domain_scores_gemma":[0.2817849,0.675548,0.007648977,0.01514384,0.01829434,0.001580013],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003059954,0.0005430297,0.008992409,0.008778079,0.003459417,0.0001950177,0.01077123,0.01099674,0.0005069512,0.1224545,0.009605006,0.8206378],"study_design_scores_gemma":[0.003608756,0.005127315,0.03517591,0.02652052,0.003313876,0.002720368,0.01643174,0.180244,0.00445765,0.6060012,0.1143217,0.002077044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02007809,0.05311783,0.9044411,0.007259806,0.001387855,0.00382006,0.0005429319,0.001319035,0.008033213],"genre_scores_gemma":[0.06699725,0.03221988,0.8885595,0.001124203,0.0004535299,0.008377556,0.0004063199,0.0007207909,0.001141015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6835585,"threshold_uncertainty_score":0.8429493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.709767389951839,"score_gpt":0.6728735764746552,"score_spread":0.03689381347718379,"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."}}