{"id":"W4311148178","doi":"10.1016/j.clnu.2022.12.002","title":"Use of a combined transient elastography and biochemical strategy to determine liver fibrosis in pediatric intestinal failure","year":2022,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Transient elastography; Internal medicine; Gastroenterology; Fibrosis; Liver biopsy; Cohort; Retrospective cohort study; Population; Liver disease; Predictive value of tests; Biopsy; Liver function tests","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":[0.0003684413,0.0001454319,0.0004271489,0.0003266743,0.00006026234,0.00001849924,0.0001279113,0.0001264544,0.00005820893],"category_scores_gemma":[0.0004350012,0.0001617923,0.0002141101,0.000545544,0.000178058,0.00008356827,0.0001037125,0.0005452443,0.000002003206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002853848,"about_ca_system_score_gemma":0.000005057867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002299703,"about_ca_topic_score_gemma":0.00005496896,"domain_scores_codex":[0.9976552,0.0004295632,0.001014022,0.0004425617,0.0001955378,0.000263144],"domain_scores_gemma":[0.9982207,0.001175177,0.0001461894,0.0001751061,0.00007387431,0.0002089932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03979404,0.02455225,0.7717409,0.0009461406,0.00004673492,0.0001174319,0.000294046,0.0001199372,0.02995795,0.00003697353,0.1158577,0.01653591],"study_design_scores_gemma":[0.01913426,0.03942621,0.9279301,0.0002939526,0.0002198649,0.000109313,0.0002522004,0.002066168,0.001204801,0.001054428,0.007815056,0.0004936521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887261,0.00008834357,0.00009680409,0.01023839,0.0002210797,0.0004991835,0.00009373952,0.00003500736,0.000001396423],"genre_scores_gemma":[0.9933859,0.0001042486,0.003361978,0.002838636,0.0001263613,0.00009179858,0.00007453753,0.00001528153,0.000001279465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561892,"threshold_uncertainty_score":0.6597699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554237484123298,"score_gpt":0.3145171411572881,"score_spread":0.2590933927449584,"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."}}