{"id":"W3120286202","doi":"10.1053/j.semtcvs.2021.01.001","title":"Donor and Recipient Size Matching in Heart Transplantation With Predicted Heart and Lean Body Mass","year":2021,"lang":"en","type":"article","venue":"Seminars in Thoracic and Cardiovascular Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Health Resources and Services Administration","keywords":"Medicine; Hazard ratio; Proportional hazards model; Internal medicine; Heart transplantation; Body mass index; Matching (statistics); Cardiology; Transplantation; Confidence interval; 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":[0.005440366,0.0003726274,0.0007993432,0.0004961291,0.0003218545,0.001158261,0.0009397755,0.0008759208,0.00237756],"category_scores_gemma":[0.01135685,0.0002720833,0.0008217949,0.0007760012,0.0005949615,0.001461249,0.001037429,0.001063367,0.000301249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000449697,"about_ca_system_score_gemma":0.0005918068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00081664,"about_ca_topic_score_gemma":0.0008331903,"domain_scores_codex":[0.9979849,0.00120627,0.000133659,0.0002313481,0.0001757236,0.000268138],"domain_scores_gemma":[0.9945051,0.002827433,0.001428103,0.0004608681,0.0001468386,0.00063159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008238346,0.0004659854,0.9776883,0.00003680982,0.0002520316,0.00008680393,0.00008690531,0.0004197846,0.0001788423,0.0002767796,0.0003109342,0.01195857],"study_design_scores_gemma":[0.0005903059,0.00392465,0.9801428,0.00006234611,0.0007485327,0.0005711748,0.0006848403,0.009153389,0.0006390125,0.002702141,0.0007372975,0.00004349958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982896,0.0006660561,0.0003118627,0.0001716003,0.00005135295,0.00001264063,0.00007563613,0.000003036345,0.0004180741],"genre_scores_gemma":[0.9991301,0.0001377164,0.0001853801,0.00006660681,0.00007760222,0.00001133494,0.0001472446,0.000002900304,0.0002410358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005440366,"threshold_uncertainty_score":0.02877176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312983156044849,"score_gpt":0.2724957475858847,"score_spread":0.2593659160254362,"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."}}