{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789815,0.0001510259,0.0005303662,0.0002739728,0.00007956733,0.0000632992,0.000088031,0.00006347368,0.0001399473],"category_scores_gemma":[0.002107907,0.0001391087,0.0001640066,0.0003150798,0.0005852501,0.0002845281,0.00002131811,0.0006414058,0.000008372289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004741265,"about_ca_system_score_gemma":0.0004986221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007461634,"about_ca_topic_score_gemma":0.00001627859,"domain_scores_codex":[0.9974739,0.0001418528,0.0009168505,0.0001891534,0.0007161385,0.0005621155],"domain_scores_gemma":[0.9934732,0.0004182504,0.0001365802,0.0001187479,0.00537871,0.0004745061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122908,0.004555581,0.9202842,0.002233281,0.00002791015,0.001571906,0.0005091619,0.00001130992,0.0009413887,0.02122807,0.002197778,0.04521031],"study_design_scores_gemma":[0.007021364,0.003018259,0.972536,0.001978336,0.000104053,0.000358714,0.007044479,0.00005856778,0.0002330097,0.003278892,0.004070415,0.0002979677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975193,0.0007159185,0.001022502,0.01805519,0.0002500552,0.0001434338,0.00003045416,0.00002183035,0.004567613],"genre_scores_gemma":[0.9646826,0.00003655588,0.02479713,0.009906937,0.0005154035,0.000004533186,0.00002887243,0.00002348086,0.000004477946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05225172,"threshold_uncertainty_score":0.5672688,"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."}}