{"id":"W4410014235","doi":"10.1016/j.jacadv.2025.101712","title":"Moving Beyond the Perfect Donor","year":2025,"lang":"en","type":"article","venue":"JACC Advances","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Institut universitaire de cardiologie et de pneumologie de Québec; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001684694,0.000072017,0.0001396643,0.00004090795,0.0001154332,0.00001505721,0.00006799612,0.00002503674,0.00007231814],"category_scores_gemma":[0.00007474743,0.00004000614,0.00006318746,0.0001505965,0.00004304116,0.00008889558,0.00001064011,0.0001043756,0.00001132244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416678,"about_ca_system_score_gemma":0.00003623317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001175132,"about_ca_topic_score_gemma":0.00002545362,"domain_scores_codex":[0.9995173,0.00003717273,0.0001180016,0.0001230633,0.00009019074,0.0001143214],"domain_scores_gemma":[0.9993924,0.000378449,0.00002640433,0.0001534382,0.00002562982,0.00002363337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002638696,0.00005811773,0.345215,0.0004392407,0.0001169119,0.00003305142,0.001032074,0.00006626554,0.004179919,0.01560337,0.001518681,0.6314735],"study_design_scores_gemma":[0.001942369,0.0001340459,0.5997792,0.0002487657,0.0003342197,0.00003976341,0.001572022,0.0001894185,0.01526997,0.01534851,0.3649434,0.0001983385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6375046,0.03351906,0.07181325,0.03333903,0.002785966,0.001015048,0.00001914851,0.0003041528,0.2196998],"genre_scores_gemma":[0.9133443,0.002333475,0.05604875,0.00850645,0.0004065106,0.00005575025,0.00001290204,0.00001712547,0.01927474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6312752,"threshold_uncertainty_score":0.1631403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114479445718175,"score_gpt":0.34509638944004,"score_spread":0.3339515949828582,"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."}}