{"id":"W3202957538","doi":"10.1002/lt.26332","title":"The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hamilton Health Sciences; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Calculator; Liver transplantation; Transplantation; Oncology; Internal medicine; Surgery; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002630746,0.0004950778,0.0004871882,0.001996219,0.0002592274,0.001051629,0.0006485015,0.0002910902,0.000692571],"category_scores_gemma":[0.008542133,0.0001567303,0.0004616983,0.001092925,0.0001780332,0.0004005353,0.0006377371,0.0004701828,0.0001955514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710111,"about_ca_system_score_gemma":0.001891796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03505777,"about_ca_topic_score_gemma":0.05268459,"domain_scores_codex":[0.9989781,0.0004697754,0.00009062981,0.0001710208,0.0002347606,0.00005576984],"domain_scores_gemma":[0.9972964,0.001203412,0.0005429727,0.0001766455,0.0006353596,0.0001452654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005092247,0.0001635916,0.7875338,0.00009005494,0.0003676762,0.0001588872,0.0001106274,0.07543673,0.0006904663,0.001473319,0.003702301,0.1297634],"study_design_scores_gemma":[0.00005108114,0.0002511029,0.1351306,0.00003903986,0.00016291,0.0001898527,0.000135814,0.8593307,0.001196763,0.001493668,0.001982498,0.00003605281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374846,0.0008996105,0.05391428,0.0008637199,0.00004340064,0.000227547,0.002865327,0.0006034839,0.00309813],"genre_scores_gemma":[0.9802502,0.0001468387,0.01697244,0.00005037826,0.00002955463,0.00006148151,0.002083491,0.00001715277,0.0003884766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03505777,"threshold_uncertainty_score":0.06970745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640200540607929,"score_gpt":0.238079631406905,"score_spread":0.2216776260008257,"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."}}