{"id":"W2100843579","doi":"10.4037/ajcc2006.15.2.166","title":"Assessing Nutritional Status in Chronically Critically Ill Adult Patients","year":2006,"lang":"en","type":"article","venue":"American Journal of Critical Care","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Nursing Research; U.S. Public Health Service","keywords":"Dieticians; Medicine; Mechanical ventilation; Body mass index; Malnutrition; Critically ill; Intensive care medicine; Clinical nutrition; Interquartile range; Emergency medicine; Internal medicine; Nursing","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":[0.00185098,0.0002508979,0.0003279768,0.0009437258,0.0003623526,0.0004645195,0.0001868319,0.0002554873,0.0008107909],"category_scores_gemma":[0.005839977,0.00009861667,0.0001553382,0.0007708685,0.0002761756,0.0004132505,0.000440147,0.0003270264,0.0001427541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077155,"about_ca_system_score_gemma":0.0004790444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114898,"about_ca_topic_score_gemma":0.001636182,"domain_scores_codex":[0.9990166,0.0004080208,0.000229752,0.0000799566,0.0002015372,0.00006415688],"domain_scores_gemma":[0.9950951,0.001358512,0.002240361,0.0001357279,0.0007069465,0.0004633154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001296637,0.0000496354,0.9934341,0.00003431396,0.00001644311,0.00002611793,0.0001400039,0.00003649011,0.0003141362,0.000006781388,0.00009718509,0.005715174],"study_design_scores_gemma":[0.00002056663,0.001093735,0.996663,0.00005634782,0.00002083683,0.0003712822,0.0003803063,0.0003728755,0.0005393113,0.00004186748,0.0004305879,0.000009170028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982263,0.0005715243,0.0003974528,0.0001067867,0.0000068093,0.00004782093,0.0002408063,0.00000778517,0.0003946821],"genre_scores_gemma":[0.9976014,0.0002982562,0.001631154,0.00006903068,0.00001590441,0.00007417078,0.0002397681,0.000001514203,0.0000687727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00185098,"threshold_uncertainty_score":0.00978905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749428580805742,"score_gpt":0.3767038649030947,"score_spread":0.3592095790950373,"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."}}