{"id":"W2806585974","doi":"10.1097/tp.0000000000002311","title":"Muscle Mass and Mortality After Cardiac Transplantation","year":2018,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University Health Centre; Concordia University; Université de Montréal; McGill University","funders":"","keywords":"Medicine; Odds ratio; Hazard ratio; Confidence interval; Heart transplantation; Transplantation; Internal medicine; Sarcopenia; Surgery; Body mass index; Dialysis; Stroke (engine); Cardiology","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":[0.0006890712,0.0002743097,0.0002646004,0.0004794569,0.0002343674,0.0005043333,0.0002447909,0.0003075674,0.001602587],"category_scores_gemma":[0.002808133,0.00008910632,0.0003389391,0.0005433099,0.0002383419,0.0002523933,0.0004406241,0.0007022229,0.0001901276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900676,"about_ca_system_score_gemma":0.0002352067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249158,"about_ca_topic_score_gemma":0.0008811413,"domain_scores_codex":[0.9997284,0.00006571714,0.00003507068,0.00005225675,0.00006227761,0.00005631231],"domain_scores_gemma":[0.9977978,0.0002821729,0.00125479,0.0000717532,0.0001598541,0.0004336683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319873,0.00002009879,0.9975074,0.00002191573,0.00005044997,0.00005022123,0.00001207266,0.00006428787,0.00008978408,0.0000119416,0.0001131048,0.001926775],"study_design_scores_gemma":[0.000005125581,0.00009595156,0.9991898,0.00002553359,0.00003200743,0.0002592984,0.00002396345,0.0001756384,0.00004086237,0.00003522267,0.0001143544,0.000002234618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99584,0.002894446,0.00008992048,0.0002438311,0.00002705057,0.000004407259,0.0002402157,0.000007795208,0.0006523155],"genre_scores_gemma":[0.999244,0.000352586,0.00003416996,0.00003681808,0.00004990302,0.000002699752,0.0002204464,0.000001352269,0.00005807453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001602587,"threshold_uncertainty_score":0.005361199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322685121162974,"score_gpt":0.3227510277506244,"score_spread":0.2995241765389947,"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."}}