{"id":"W2802746440","doi":"10.1002/ncp.10091","title":"High‐Protein Hypocaloric Nutrition for Non‐Obese Critically Ill Patients","year":2018,"lang":"en","type":"review","venue":"Nutrition in Clinical Practice","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Parenteral nutrition; Catabolism; Critically ill; Protein catabolism; Intensive care medicine; Internal medicine; Endocrinology; Weight loss; Enteral administration; Obesity; Physiology; Amino acid; Metabolism; Biochemistry; Biology","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":[0.0004528888,0.0005731852,0.0008598829,0.001530943,0.0002531542,0.000656258,0.0006895501,0.0008056375,0.002229762],"category_scores_gemma":[0.001136192,0.0001580946,0.0005380038,0.001255239,0.0003519086,0.0007118732,0.0005538542,0.001172969,0.0007232832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542438,"about_ca_system_score_gemma":0.0008605698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143763,"about_ca_topic_score_gemma":0.002212268,"domain_scores_codex":[0.9998374,0.00003346251,0.0000360525,0.00002475068,0.00005596113,0.00001236893],"domain_scores_gemma":[0.9996789,0.0001657403,0.00006714809,0.000006953699,0.00005787616,0.000023429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009728923,0.0000859824,0.0002923755,0.03023199,0.0001049861,0.00012152,0.00005316657,0.000110111,0.0004038727,0.0007559503,0.0188127,0.94893],"study_design_scores_gemma":[0.0001358123,0.0003507707,0.007054464,0.06438979,0.0007863881,0.005815201,0.0002656829,0.0002682891,0.00070672,0.003197297,0.9169839,0.00004579987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001094304,0.9993858,0.0000258041,0.0001456204,0.00006956665,0.00000290253,0.00000426449,0.000002261172,0.0002543313],"genre_scores_gemma":[0.0006427437,0.9990128,0.00006084008,0.0001051937,0.00005935748,0.000004778374,0.000008435937,5.665227e-7,0.000105272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002229762,"threshold_uncertainty_score":0.007459283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105339691178704,"score_gpt":0.4668030877547448,"score_spread":0.3562691186368744,"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."}}