{"id":"W4376638096","doi":"10.1161/circheartfailure.122.009994","title":"Rethinking Donor and Recipient Risk Matching in Europe and North America: Using Heart Transplant Predictors of Donor and Recipient Risk","year":2023,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; Abiomed; CareDx; Cytokinetics","keywords":"Medicine; Lung transplantation; Hazard ratio; Transplantation; Proportional hazards model; Internal medicine; Heart transplantation; Propensity score matching; Heart failure; Cohort; Surgery; Cardiology; Confidence interval","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":[0.0007037029,0.0001899742,0.0004607901,0.0002701102,0.0001891873,0.00003338024,0.00003034562,0.0001047467,0.000009095179],"category_scores_gemma":[0.0001235704,0.0001710804,0.00005205551,0.0006637819,0.0001109019,0.000162896,0.00002263113,0.0003497562,0.000001798225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003284785,"about_ca_system_score_gemma":0.00004867748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008197919,"about_ca_topic_score_gemma":0.000370023,"domain_scores_codex":[0.9982671,0.0003032588,0.0005011887,0.000414529,0.0002675003,0.0002464955],"domain_scores_gemma":[0.9990403,0.00037644,0.000163277,0.0001866472,0.00007981627,0.0001535335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000103261,0.00001944105,0.9823228,0.000238194,0.00004163533,0.00001354387,0.01022284,0.001665266,0.003455914,0.00001438846,0.00002250508,0.001880213],"study_design_scores_gemma":[0.001227624,0.00009031685,0.9907684,0.0004610072,0.0002082558,0.00009936376,0.0004097276,0.005266534,0.0001134892,0.000136535,0.001060403,0.0001583434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958243,0.0003572132,0.002134485,0.0008548524,0.0001534495,0.0004895887,0.0001046982,0.00007227693,0.000009184957],"genre_scores_gemma":[0.9793514,0.001288482,0.01904208,0.0001076877,0.00008345145,0.000008194545,0.00007971996,0.00002938695,0.000009570388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01690759,"threshold_uncertainty_score":0.6976458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224716881948209,"score_gpt":0.2828881285146782,"score_spread":0.2506409596951961,"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."}}