{"id":"W2979532806","doi":"10.1182/blood.v128.22.2235.2235","title":"Refined Hepatic Grading System Improves Risk Stratification of Long-Term Outcomes in the Patients Developing Chronic Gvhd","year":2016,"lang":"en","type":"article","venue":"Blood","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Internal medicine; Grading (engineering); Gastroenterology; Overlap syndrome; Common Terminology Criteria for Adverse Events; Bilirubin; Retrospective cohort study; Oncology; Adverse effect; Disease; 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":[0.001591795,0.0002685412,0.0003946102,0.001352943,0.0002208962,0.0006480085,0.0002249269,0.000197381,0.00113387],"category_scores_gemma":[0.00373974,0.00008905536,0.000488385,0.0009309102,0.0002184461,0.0004395558,0.0004690268,0.0003012424,0.0002221044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396403,"about_ca_system_score_gemma":0.0003248605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009747067,"about_ca_topic_score_gemma":0.001257014,"domain_scores_codex":[0.9992285,0.0002832522,0.0001613835,0.0001139128,0.000144433,0.00006846062],"domain_scores_gemma":[0.9976963,0.0004385294,0.001042854,0.0001483034,0.0005081226,0.000165957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003744131,0.00002312974,0.9768037,0.00005984677,0.00006029884,0.00006275393,0.00003415749,0.0003078731,0.0005644903,0.00004748757,0.0002479617,0.02141408],"study_design_scores_gemma":[0.00003022917,0.0005041269,0.9943464,0.00006392496,0.0001743056,0.0007028846,0.0001323749,0.002259507,0.0007269193,0.0001878948,0.0008586532,0.00001267968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925223,0.002565716,0.002695328,0.0001038273,0.0000269385,0.00006956411,0.0005635279,0.00002519594,0.001427663],"genre_scores_gemma":[0.9982132,0.0001968398,0.001070393,0.0000151495,0.00001156919,0.00001419134,0.0003883353,0.00000275668,0.00008756689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591795,"threshold_uncertainty_score":0.008418381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523442259175748,"score_gpt":0.2711114562617843,"score_spread":0.2558770336700268,"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."}}