{"id":"W2933939320","doi":"10.1097/pts.0000000000000595","title":"Managing Missing Data in the Hospital Survey on Patient Safety Culture: A Simulation Study","year":2019,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Agence Nationale de la Recherche","keywords":"Imputation (statistics); Missing data; Statistics; Mean squared error; Computer science; Data mining; Mathematics","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":[],"category_scores_codex":[0.03478797,0.0008827287,0.001191588,0.001324269,0.0009120879,0.001112513,0.002168163,0.00230951,0.002420118],"category_scores_gemma":[0.08109299,0.0007249781,0.002175681,0.001726031,0.001050954,0.001517203,0.001660789,0.001954623,0.0001672075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002575259,"about_ca_system_score_gemma":0.003035048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01822857,"about_ca_topic_score_gemma":0.008122895,"domain_scores_codex":[0.9758226,0.02194573,0.0004952574,0.0006017471,0.0005653428,0.0005693765],"domain_scores_gemma":[0.7482921,0.2330011,0.006454844,0.005691337,0.004886562,0.001673986],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002268093,0.002320522,0.09445852,0.0003230596,0.0009096812,0.0004613502,0.0007923484,0.8788689,0.0003336379,0.005853892,0.0009199287,0.01249016],"study_design_scores_gemma":[0.000710358,0.001943783,0.01177343,0.0001318364,0.000290213,0.000180432,0.0004852206,0.9798563,0.0007026326,0.003347286,0.0005103748,0.00006812678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583555,0.0002580261,0.03845342,0.0005728455,0.00002819761,0.0004844078,0.0005158216,0.00008312071,0.001248567],"genre_scores_gemma":[0.9794282,0.0001295659,0.01907141,0.00009575356,0.0000153664,0.0006236614,0.0003776123,0.00001166685,0.0002467159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.965212,"threshold_uncertainty_score":0.1839786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08128046112991551,"score_gpt":0.3899131081419704,"score_spread":0.3086326470120549,"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."}}