{"id":"W4320497163","doi":"10.3390/nu15040917","title":"Factors Associated with Interruptions of Enteral Nutrition and the Impact on Macro- and Micronutrient Deficits in ICU Patients","year":2023,"lang":"en","type":"article","venue":"Nutrients","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Parenteral nutrition; Micronutrient; Enteral administration; Calorie; Clinical nutrition; Body mass index; Internal medicine; Pediatrics","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":[0.0006540262,0.0003316202,0.0004801002,0.0005721939,0.0004700963,0.0007970982,0.0003193646,0.000521735,0.001753085],"category_scores_gemma":[0.004737234,0.0001686878,0.0004570631,0.00111209,0.0002657548,0.0005152352,0.0005538051,0.001093022,0.0001648754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909915,"about_ca_system_score_gemma":0.000635803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277273,"about_ca_topic_score_gemma":0.002373552,"domain_scores_codex":[0.9991936,0.0001694202,0.0002034788,0.0001175224,0.0001582191,0.0001577749],"domain_scores_gemma":[0.9954457,0.0006882088,0.002851156,0.00009849983,0.0002782238,0.0006380936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001328496,0.00003829754,0.9984452,0.00002168883,0.00003357788,0.0001103361,0.00005172134,0.00003005327,0.00004354211,0.000007821694,0.00009538702,0.0009895754],"study_design_scores_gemma":[0.00000563191,0.0001614576,0.9988801,0.00002977136,0.0000283731,0.0002970365,0.0002425713,0.0001422368,0.0000233963,0.00001951791,0.0001648587,0.000005143532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977427,0.001323039,0.00004712202,0.0001553935,0.00001737677,0.0000122335,0.0002357699,0.000002914653,0.0004636313],"genre_scores_gemma":[0.9991955,0.0003220165,0.00007589192,0.00006114731,0.0000369339,0.00001127488,0.0002424286,0.00000147478,0.00005334792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277273,"threshold_uncertainty_score":0.00586468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630969811164376,"score_gpt":0.3165379160785099,"score_spread":0.2802282179668661,"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."}}