{"id":"W3035657940","doi":"","title":"Joint imputation procedures for categorical variables","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Imputation (statistics); Categorical variable; Statistics; Missing data; Estimator; Mathematics; Bivariate analysis; Econometrics; Simple random sample; Copula (linguistics); Population; Computer science","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":[0.07238507,0.001545162,0.004291622,0.003671322,0.001851522,0.00383543,0.006212504,0.00301484,0.06001242],"category_scores_gemma":[0.2734548,0.002055808,0.006950585,0.009581307,0.00134426,0.002924522,0.003977817,0.006499523,0.01441946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006717,"about_ca_system_score_gemma":0.004477812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496423,"about_ca_topic_score_gemma":0.003473553,"domain_scores_codex":[0.9225372,0.06403851,0.003837262,0.004144625,0.004095403,0.001346971],"domain_scores_gemma":[0.7856391,0.1459963,0.00637911,0.0535024,0.007774723,0.0007083051],"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":[0.001115564,0.0005035585,0.0121854,0.001872752,0.004059226,0.0002863458,0.0009004227,0.01173042,0.0004746476,0.1591046,0.1354458,0.6723214],"study_design_scores_gemma":[0.001400682,0.0006201639,0.02229365,0.002310385,0.002301353,0.00107726,0.000455716,0.1440923,0.002399381,0.7005227,0.1222326,0.0002938263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002685482,0.001263457,0.9833127,0.001271508,0.000842236,0.0007588496,0.005772157,0.001290229,0.002803395],"genre_scores_gemma":[0.07859109,0.001672086,0.8750179,0.000952571,0.0009927669,0.007609536,0.01703914,0.001567492,0.01655737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07238507,"threshold_uncertainty_score":0.3828135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08865502073078443,"score_gpt":0.3569027286124182,"score_spread":0.2682477078816338,"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."}}