{"id":"W4408956647","doi":"10.1097/mcp.0000000000001168","title":"Advancing lung transplantation through machine learning and artificial intelligence","year":2025,"lang":"en","type":"review","venue":"Current Opinion in Pulmonary Medicine","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Medicine; Lung transplantation; Transplantation; Artificial intelligence; MEDLINE; Intensive care medicine; 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":[0.001404081,0.0007654793,0.001654668,0.001981707,0.0002198873,0.001436372,0.0008980142,0.001378317,0.004272324],"category_scores_gemma":[0.002610878,0.0002653191,0.0008642626,0.00163043,0.0005558634,0.001645747,0.001007742,0.002349083,0.001776112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603832,"about_ca_system_score_gemma":0.001452093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000796358,"about_ca_topic_score_gemma":0.00119671,"domain_scores_codex":[0.9995068,0.0001207344,0.00008675413,0.00006517717,0.0001847534,0.00003570553],"domain_scores_gemma":[0.9983231,0.001124085,0.000189058,0.0000337073,0.0002635114,0.00006640859],"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":[0.00005509279,0.00005817505,0.0002111004,0.03745362,0.0002326833,0.00008544322,0.00003654596,0.0006340612,0.0005775021,0.005435014,0.01762966,0.937591],"study_design_scores_gemma":[0.00003239428,0.0001732584,0.00127947,0.02163211,0.0003191726,0.0008800175,0.00006941029,0.0004069259,0.0005217848,0.006840031,0.9678076,0.00003775072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000595887,0.9985839,0.0001828013,0.0004736953,0.0002256113,0.000005916545,0.0000123431,0.000005752347,0.0004503499],"genre_scores_gemma":[0.000442809,0.9986596,0.0001965645,0.0002630021,0.0002584519,0.000006677355,0.00001847886,0.000001451258,0.0001530195],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004272324,"threshold_uncertainty_score":0.0142923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207090428823726,"score_gpt":0.4767199334156628,"score_spread":0.3560108905332902,"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."}}