{"id":"W4399771384","doi":"10.1016/j.ajt.2024.06.009","title":"The emerging role of generative artificial intelligence in transplant medicine","year":2024,"lang":"en","type":"review","venue":"American Journal of Transplantation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"University Health Network","keywords":"Medicine; Generative grammar; Artificial intelligence; 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":[0.002076727,0.0005345244,0.0009307904,0.002446167,0.0004250371,0.002317447,0.0008368898,0.002084038,0.002478077],"category_scores_gemma":[0.003103759,0.0002552431,0.0006150065,0.002230973,0.001791243,0.002553556,0.001195139,0.003165531,0.0009121287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054914,"about_ca_system_score_gemma":0.002113175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454405,"about_ca_topic_score_gemma":0.001966765,"domain_scores_codex":[0.9993463,0.0002586444,0.00006081861,0.00006915822,0.0002286444,0.00003643972],"domain_scores_gemma":[0.9964795,0.00293938,0.0001139775,0.00008151212,0.0003042798,0.00008141602],"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":[0.00002721851,0.0000555508,0.0003045444,0.0124867,0.00007807322,0.0001869501,0.0004119792,0.000851684,0.0005663226,0.06253588,0.01450249,0.9079927],"study_design_scores_gemma":[0.00001117908,0.00008402803,0.000984852,0.0102999,0.00007972559,0.001311432,0.000277055,0.0005474291,0.0004594669,0.03654896,0.9493545,0.00004154341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002065441,0.9939173,0.001135992,0.001608056,0.0002618154,0.0000067212,0.000008410889,0.00001401444,0.00284121],"genre_scores_gemma":[0.002981031,0.9940122,0.001344814,0.0008707189,0.000352859,0.00001349129,0.00001332371,0.000005582997,0.0004059796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002478077,"threshold_uncertainty_score":0.01098293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335752418800754,"score_gpt":0.468318885657538,"score_spread":0.3347436437774626,"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."}}