{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001620566,0.0001851934,0.0007256048,0.0001533768,0.00007001814,0.00003332553,0.00001695155,0.00011487,0.000008463453],"category_scores_gemma":[0.0000651108,0.0001610238,0.0001565787,0.0003071025,0.00008074191,0.0001286151,0.00001062778,0.0002358253,2.989444e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002222571,"about_ca_system_score_gemma":0.00008583851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006865751,"about_ca_topic_score_gemma":0.00005240403,"domain_scores_codex":[0.9984092,0.0002808005,0.0003208421,0.0004414349,0.0002993873,0.0002483386],"domain_scores_gemma":[0.998995,0.00059464,0.00002839168,0.0002192655,0.00003913057,0.0001235458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006669791,0.00004422047,0.9559727,0.001123183,0.0002623613,0.001376001,0.001991874,0.00003370366,0.003840904,0.00001440712,0.00001804033,0.03465565],"study_design_scores_gemma":[0.001182421,0.00005269762,0.9864504,0.002100415,0.0004671584,0.002941318,0.00189131,0.00005278232,0.003871117,0.000145925,0.0005980274,0.000246462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778854,0.01822189,0.0030738,0.0003313251,0.00009845116,0.0002399547,0.00001709001,0.00002950321,0.0001025728],"genre_scores_gemma":[0.9588854,0.01605353,0.02466927,0.0001714919,0.00004976269,0.00002740729,0.00005540508,0.00002640777,0.0000613148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03440919,"threshold_uncertainty_score":0.6566359,"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."}}