{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009866956,0.0003530333,0.0003491266,0.001536155,0.0003216849,0.0005073712,0.0002756118,0.0002648109,0.001191817],"category_scores_gemma":[0.002093663,0.0001264484,0.000348099,0.0008130377,0.0002196208,0.0005008557,0.0004947867,0.0003904399,0.0002785802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312342,"about_ca_system_score_gemma":0.0003320742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189912,"about_ca_topic_score_gemma":0.00200585,"domain_scores_codex":[0.9995518,0.000151116,0.00008951484,0.0000526469,0.000108096,0.00004686712],"domain_scores_gemma":[0.9983963,0.0002023277,0.000929291,0.00004747968,0.0001683034,0.0002562515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000554306,0.00001472394,0.9986067,0.000006506213,0.00001484285,0.00001649944,0.000009528548,0.00002634205,0.00009605686,0.000005260413,0.00003742914,0.001110786],"study_design_scores_gemma":[0.000006508234,0.0002722886,0.9984768,0.00001202725,0.00001857313,0.000349699,0.00006630249,0.000435514,0.0001762605,0.00002224045,0.0001589759,0.000004748176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979261,0.0004225958,0.0004045728,0.00006791441,0.000008738277,0.00003438815,0.000405688,0.000009943023,0.0007200267],"genre_scores_gemma":[0.9985977,0.0001437797,0.0007292214,0.00002113197,0.0000118098,0.00002620915,0.0003404263,0.000001970392,0.0001278444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536155,"threshold_uncertainty_score":0.005218208,"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."}}