{"id":"W4394722579","doi":"10.1016/j.healun.2024.02.707","title":"Donor-Recipient Matching Following Donation After Circulatory Determination of Death","year":2024,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Donation; Matching (statistics); Circulatory system; Organ donation; Medicine; Internal medicine; Transplantation; Law; Political science; Pathology","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":[0.002503933,0.000081953,0.0003238117,0.0005831512,0.0007777825,0.0006171971,0.0003851411,0.0004029092,0.003609654],"category_scores_gemma":[0.008442577,0.0001047644,0.0002613502,0.0004862176,0.000226144,0.0005036088,0.000602386,0.0003695979,0.0004252156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004208383,"about_ca_system_score_gemma":0.0005985387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008090807,"about_ca_topic_score_gemma":0.001197439,"domain_scores_codex":[0.9984019,0.0008731062,0.0001432418,0.0001007577,0.0001747962,0.0003061111],"domain_scores_gemma":[0.997748,0.001017794,0.0004771189,0.0002488703,0.0002083213,0.0003000619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009967698,0.001063123,0.8223125,0.0002134047,0.0001392329,0.004249411,0.002189187,0.0006300064,0.004184861,0.002714473,0.001880366,0.1504558],"study_design_scores_gemma":[0.0002617562,0.005334397,0.9452981,0.0002266445,0.0002751852,0.01503528,0.004915777,0.003358515,0.009999359,0.007744053,0.007477897,0.00007315634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953821,0.0005359144,0.001042361,0.0001466876,0.000100877,0.0001069579,0.00007971041,0.000006265345,0.002599151],"genre_scores_gemma":[0.9989462,0.000139997,0.0003596734,0.00006223299,0.00001572977,0.00002085002,0.00006511054,0.000002125771,0.0003881005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003609654,"threshold_uncertainty_score":0.01324219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010070319140831,"score_gpt":0.2773750160747101,"score_spread":0.2672743128833018,"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."}}