{"id":"W3030802054","doi":"10.1097/mot.0000000000000773","title":"Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology)","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Organ Transplantation","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children; University Health Network","funders":"","keywords":"Transplantation; Artificial intelligence; Medicine; Computer science; Oncology; Machine learning; Internal medicine","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":[0.0009107222,0.0008613479,0.001745377,0.002831143,0.0002780683,0.001373419,0.0008275152,0.001581413,0.004876593],"category_scores_gemma":[0.00200836,0.0002767998,0.0007514707,0.003454246,0.0007413797,0.001687043,0.0007776757,0.002710862,0.002336742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132361,"about_ca_system_score_gemma":0.001479127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432616,"about_ca_topic_score_gemma":0.001925557,"domain_scores_codex":[0.9996356,0.0001064287,0.00006068857,0.00005190918,0.0001160133,0.00002939665],"domain_scores_gemma":[0.9987559,0.0007862032,0.0001406622,0.00002844104,0.0002284753,0.000060358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005297937,0.00005688249,0.0002079705,0.02886767,0.0001963802,0.0001482322,0.00007317061,0.0005446406,0.0003584389,0.005863717,0.05347732,0.9101525],"study_design_scores_gemma":[0.00002029701,0.00009900924,0.001325625,0.01618879,0.0001754814,0.001243157,0.00007573152,0.0002050797,0.000201704,0.006126975,0.9743059,0.00003237711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003926034,0.9984635,0.0001056082,0.0004201732,0.0003894226,0.00000441662,0.000009300787,0.000004291519,0.0005640928],"genre_scores_gemma":[0.0003668798,0.9984157,0.0001398808,0.0002939582,0.000471355,0.000006555025,0.00001963323,0.000001499999,0.0002845811],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004876593,"threshold_uncertainty_score":0.01631379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.216131044348909,"score_gpt":0.3855022320648215,"score_spread":0.1693711877159125,"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."}}