{"id":"W2981584562","doi":"10.1097/01.ee9.0000606952.67058.38","title":"To impute or exclude, what’s the impact?","year":2019,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of New Brunswick; Statistics Canada; McGill University; University of British Columbia","funders":"","keywords":"Missing data; Imputation (statistics); Covariate; Censoring (clinical trials); Statistics; Proportional hazards model; Demography; Census; Econometrics; Actuarial science; Medicine; Geography; Mathematics; Economics; Population; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002834969,0.0004505166,0.0005929903,0.00005537517,0.0002974764,0.0000320483,0.0007852969,0.0002190084,0.04098905],"category_scores_gemma":[0.0003690049,0.0002803998,0.0002138222,0.0002032151,0.0005336716,0.000640445,0.001173942,0.0005571651,0.04914609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038944,"about_ca_system_score_gemma":0.00001553734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000518191,"about_ca_topic_score_gemma":0.00004605523,"domain_scores_codex":[0.9953557,0.001078053,0.0007041926,0.0012633,0.0003233479,0.001275425],"domain_scores_gemma":[0.9963955,0.001608437,0.0002514547,0.001211927,9.528526e-7,0.0005317428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000261623,0.0002994725,0.8259114,0.000009585324,0.00008986935,0.00003853491,0.001329009,0.02245694,0.0162835,0.00009566913,0.01487906,0.1183454],"study_design_scores_gemma":[0.0005369387,0.0006012328,0.9077767,0.00002230421,0.00001776302,0.00009890825,0.0007350633,0.00159225,0.0003945629,0.0008727364,0.08686929,0.0004822565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866505,0.0002386661,0.001188084,0.005913856,0.0005052633,0.001460653,0.00002402431,0.00006162503,0.003957275],"genre_scores_gemma":[0.9714904,0.0007343771,0.001270957,0.02255209,0.0001348878,0.0001099672,0.00003401353,0.00006959536,0.003603696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178631,"threshold_uncertainty_score":0.9999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384547645280393,"score_gpt":0.336020583204092,"score_spread":0.2975658186760527,"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."}}