{"id":"W2790681385","doi":"10.1093/jcag/gwy009.192","title":"A192 CHARACTERISTICS AND OUTCOMES OF PATIENTS REFERRED TO THE HEPATOLOGY TRIAGE CLINIC: A QUALITY IMPROVEMENT INITIATIVE TO ASSESS AND OPTIMIZE SCREENING PROTOCOLS AND RESOURCE ALLOCATION STRATEGIES FOR MANAGEMENT OF PATIENTS WITH NON-ALCOHOLIC FATTY LIVER DISEASE","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Transient elastography; Hepatology; Cohort; Internal medicine; Liver disease; Cirrhosis; Dyslipidemia; Fatty liver; Triage; Liver function tests; Chronic liver disease; Liver biopsy; Cohort study; Liver function; Disease; Emergency medicine; Biopsy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001233923,0.0001844839,0.0002780246,0.0006827062,0.0006361021,0.0006741462,0.0003229654,0.0004016183,0.0023127],"category_scores_gemma":[0.003796522,0.0001883876,0.0003156944,0.001047148,0.0002096589,0.0004867354,0.0005064855,0.0006300498,0.0004390386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009343428,"about_ca_system_score_gemma":0.001165141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296696,"about_ca_topic_score_gemma":0.013841,"domain_scores_codex":[0.9991393,0.0002746573,0.0001171894,0.0001504329,0.0001578633,0.0001605445],"domain_scores_gemma":[0.9971955,0.0003420366,0.001041168,0.0001058478,0.0005214319,0.0007939995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191014,0.0001721963,0.997389,0.000005707671,0.00001450922,0.00005072247,0.00005659823,0.00002959603,0.00008668001,0.000008471895,0.0005363044,0.001531022],"study_design_scores_gemma":[0.00002358356,0.0003907157,0.9988487,0.000005997985,0.000009329405,0.00008790059,0.0002394066,0.0001847354,0.00003017514,0.000008493589,0.0001670864,0.000003786307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997946,0.00005884658,0.0001430134,0.0001670327,0.00001360042,0.00006132378,0.001065109,0.000009520299,0.000535643],"genre_scores_gemma":[0.9974396,0.00005643659,0.0002401772,0.0001203256,0.00002440347,0.00008483019,0.001763867,0.000004831715,0.0002655226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296696,"threshold_uncertainty_score":0.02578294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466294415181189,"score_gpt":0.3283176929888245,"score_spread":0.2816882514707056,"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."}}