{"id":"W4243364735","doi":"10.1007/978-1-4939-7131-2_100702","title":"Multiple Imputation","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Imputation (statistics); Computer science; Statistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007912062,0.001670643,0.002249669,0.002216051,0.001315135,0.003799414,0.004207591,0.002566654,0.1385693],"category_scores_gemma":[0.02534224,0.001219706,0.002527928,0.003756686,0.001045477,0.003314769,0.003130303,0.005390613,0.07669307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831317,"about_ca_system_score_gemma":0.002565728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207051,"about_ca_topic_score_gemma":0.002442751,"domain_scores_codex":[0.9947572,0.002361106,0.0002719438,0.001123657,0.001299065,0.0001870292],"domain_scores_gemma":[0.9900025,0.005138073,0.0003451815,0.002905878,0.001431835,0.0001766143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006937682,0.0000890354,0.0006110144,0.0004918721,0.0001788942,0.0001189125,0.0001665734,0.00507011,0.0004324893,0.1822241,0.2612405,0.5493071],"study_design_scores_gemma":[0.00003704696,0.00004023366,0.0006858628,0.0005387579,0.0001248908,0.0006442384,0.00008668461,0.02550121,0.001579143,0.4617462,0.5089428,0.00007286653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005096428,0.002462474,0.9203054,0.002496886,0.001140106,0.0001288847,0.002546144,0.003062696,0.06734771],"genre_scores_gemma":[0.0186192,0.004897102,0.7280702,0.002945456,0.001723567,0.0006404936,0.01084007,0.004061311,0.2282027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1385693,"threshold_uncertainty_score":0.4635606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09122506567680257,"score_gpt":0.3692636206937893,"score_spread":0.2780385550169868,"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."}}