{"id":"W3044653895","doi":"10.1097/txd.0000000000001028","title":"Evaluation of Malnutrition Risk in Lung Transplant Candidates Using the Nutritional Risk Index","year":2020,"lang":"en","type":"article","venue":"Transplantation Direct","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Calgary; University of Alberta; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Malnutrition; Internal medicine; Cohort; Risk factor; Retrospective cohort study; Weight change; Body mass index; Quartile; Pediatrics; Weight loss; Confidence interval; Obesity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692723,0.0001847245,0.0003579824,0.0001729047,0.0001138163,0.00001549494,0.00008572779,0.0001058246,0.0001747009],"category_scores_gemma":[0.00009027972,0.0001433208,0.0001508049,0.000501312,0.00007287481,0.0001625796,0.000002116492,0.0002932034,0.000003138358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007998136,"about_ca_system_score_gemma":0.0001799953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007542536,"about_ca_topic_score_gemma":0.0003773874,"domain_scores_codex":[0.997157,0.0008945864,0.000558014,0.0002904289,0.0009033525,0.0001965728],"domain_scores_gemma":[0.9988827,0.0004511431,0.000215344,0.0001330081,0.0002254788,0.00009232587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002399877,0.0001707012,0.9692903,0.0008675915,0.0002218303,0.00003193115,0.006300135,0.008817601,0.008450449,0.00008687963,0.00002242195,0.003340309],"study_design_scores_gemma":[0.00806905,0.000111874,0.8180181,0.0004660279,0.003182005,0.0000649748,0.0002472271,0.1496302,0.0196607,0.0003438782,0.00002046928,0.0001855061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657854,0.001034546,0.02987551,0.0006091179,0.00008767749,0.0009761192,0.001090867,0.00004974001,0.0004909721],"genre_scores_gemma":[0.9917299,0.003907204,0.003632399,0.0001448462,0.0001035266,0.00004867833,0.0004092421,0.00002092402,0.000003307224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1512722,"threshold_uncertainty_score":0.5844454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649802117339379,"score_gpt":0.3493346062491025,"score_spread":0.2928365850757087,"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."}}