{"id":"W4376959749","doi":"10.1016/j.jhep.2023.01.006","title":"Artificial intelligence, machine learning, and deep learning in liver transplantation","year":2023,"lang":"en","type":"review","venue":"Journal of Hepatology","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Artificial intelligence; Context (archaeology); Medicine; Machine learning; Candidacy; Transplantation; Liver transplantation; Intensive care medicine; Computer science; Surgery","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":[0.001191693,0.0008197813,0.001553439,0.002467695,0.0002612792,0.001232938,0.0009338915,0.001548401,0.003623256],"category_scores_gemma":[0.00208058,0.0003181761,0.001075647,0.002964789,0.0006387764,0.001513612,0.0008897103,0.003131543,0.00111831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933758,"about_ca_system_score_gemma":0.00161446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002191599,"about_ca_topic_score_gemma":0.002947039,"domain_scores_codex":[0.9996258,0.0001171179,0.0000590838,0.0000487729,0.000116969,0.00003220416],"domain_scores_gemma":[0.9989724,0.0007219202,0.00009215962,0.00002115529,0.0001490788,0.00004328473],"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":[0.00007628371,0.00007778471,0.000256126,0.02763011,0.0002708299,0.000107432,0.0000615262,0.001106403,0.0002933734,0.009236084,0.02420528,0.9366787],"study_design_scores_gemma":[0.00004508098,0.0001872588,0.002312247,0.02733828,0.0003919409,0.0009812333,0.0001005651,0.0008721704,0.0003948995,0.01772946,0.9495946,0.0000523819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006214567,0.9988211,0.0001254783,0.000348563,0.0001368472,0.000003901304,0.000008723456,0.000004064505,0.0004891474],"genre_scores_gemma":[0.0007766725,0.9983146,0.0001980769,0.0002486506,0.0001748843,0.00000730343,0.0000155827,0.000001700083,0.0002624958],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003623256,"threshold_uncertainty_score":0.01212096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06250269291731594,"score_gpt":0.3725299567619902,"score_spread":0.3100272638446743,"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."}}