{"id":"W2037726224","doi":"10.1177/0148607114566656","title":"Self‐Screening for Malnutrition Risk in Outpatient Inflammatory Bowel Disease Patients Using the Malnutrition Universal Screening Tool (MUST)","year":2015,"lang":"en","type":"article","venue":"Journal of Parenteral and Enteral Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Medicine; Malnutrition; Outpatient clinic; Gold standard (test); Inflammatory bowel disease; Confidence interval; Disease; Risk assessment; Pediatrics; Intensive care medicine; Physical therapy; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002176847,0.0002901039,0.0003716243,0.0009430926,0.0003220325,0.0004074826,0.0003170185,0.0002383098,0.0006938418],"category_scores_gemma":[0.006442111,0.0001327691,0.0002934517,0.0007673776,0.0002565995,0.0002106598,0.0004964808,0.0003045427,0.0001258582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008550525,"about_ca_system_score_gemma":0.001407519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02727512,"about_ca_topic_score_gemma":0.05581056,"domain_scores_codex":[0.9987613,0.000506322,0.0001659394,0.00009478318,0.0003308094,0.0001408629],"domain_scores_gemma":[0.9968214,0.0007017484,0.001249078,0.0001037049,0.0007563211,0.0003677833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097209,0.00008992387,0.9894373,0.00004945664,0.00002264143,0.00003427317,0.0001813879,0.00005636637,0.0002602547,0.00001018053,0.0002804289,0.00946797],"study_design_scores_gemma":[0.00001979617,0.0003141699,0.9982173,0.00004028445,0.00001598304,0.00017295,0.0002042756,0.0004452939,0.0002663548,0.0000130226,0.0002847889,0.000005754327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980897,0.0002708895,0.0003180852,0.00009835006,0.000007839666,0.0001334005,0.0002681598,0.00001973881,0.000793803],"genre_scores_gemma":[0.9975992,0.0001540802,0.00170807,0.00004395558,0.000005184884,0.00006089448,0.0002979366,0.000001714295,0.0001289232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02727512,"threshold_uncertainty_score":0.05423272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05182885540777371,"score_gpt":0.3069708895921322,"score_spread":0.2551420341843585,"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."}}