{"id":"W2154985508","doi":"10.1002/hep.27787","title":"Total tumor volume and alpha‐fetoprotein for selection of transplant candidates with hepatocellular carcinoma: A prospective validation","year":2015,"lang":"en","type":"article","venue":"Hepatology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University; University of Alberta","funders":"Faculté de Médecine, Université de Genève; University of California, San Francisco; Fondation Artères; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Alberta; National Science Foundation","keywords":"Hepatocellular carcinoma; Alpha-fetoprotein; Medicine; Selection (genetic algorithm); Volume (thermodynamics); Oncology; Prospective cohort study; Internal medicine; Carcinoma; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00538418,0.0005696331,0.0002812626,0.0008192307,0.0003371531,0.0008533229,0.0007693087,0.000473445,0.001030646],"category_scores_gemma":[0.01064162,0.0002856157,0.0005719782,0.0007269758,0.0008350254,0.0007854125,0.0009321798,0.0005996019,0.0004972853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054505,"about_ca_system_score_gemma":0.0006683007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006597869,"about_ca_topic_score_gemma":0.0009520811,"domain_scores_codex":[0.9986438,0.0007437298,0.0001412102,0.0002015066,0.000197657,0.00007218331],"domain_scores_gemma":[0.9905566,0.003704467,0.002899876,0.0008909908,0.001094439,0.0008536581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006285305,0.00007235753,0.9963291,0.00001422833,0.0000405791,0.00002023694,0.00003878656,0.00007898171,0.0001622099,0.00001698209,0.00005054535,0.002547387],"study_design_scores_gemma":[0.0001411844,0.001758881,0.9941669,0.00004045456,0.0001555968,0.0004768176,0.0001413299,0.001921845,0.0006071669,0.00006722506,0.0005083155,0.00001430848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998313,0.0004755479,0.0005561198,0.00004002315,0.00001210751,0.00006514098,0.0001867953,0.00000797543,0.0003432379],"genre_scores_gemma":[0.9984795,0.0001231497,0.0006717633,0.00002607097,0.00002356482,0.00004563035,0.0005638918,0.000004402234,0.00006200338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00538418,"threshold_uncertainty_score":0.02847457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195310951690165,"score_gpt":0.2334525128658346,"score_spread":0.2014994033489329,"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."}}