{"id":"W3042089952","doi":"10.1097/tp.0000000000003374","title":"Comparing Donor Heart Assessment Strategies During Ex Situ Heart Perfusion to Better Estimate Posttransplant Cardiac Function","year":2020,"lang":"en","type":"article","venue":"Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Transplantation; Cardiology; Medicine; Preload; Heart transplantation; Perfusion; Internal medicine; Cardiac function curve; Circulatory system; Cardiac output; Cardiac index; Hemodynamics; Heart failure","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":[0.001613062,0.0003686044,0.0003110595,0.0002745465,0.000112872,0.0004660637,0.0002479888,0.0002747725,0.0009500748],"category_scores_gemma":[0.000915568,0.0001107809,0.000163958,0.0001430471,0.000287631,0.0004629033,0.0003339738,0.000435017,0.0001445849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754266,"about_ca_system_score_gemma":0.000198294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079477,"about_ca_topic_score_gemma":0.000208721,"domain_scores_codex":[0.9996482,0.0001371431,0.00002607912,0.00007786068,0.00007018045,0.00004045126],"domain_scores_gemma":[0.9992544,0.0002420492,0.0001968385,0.00007492645,0.0001298282,0.0001019723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00916042,0.001404009,0.3380047,0.0003603673,0.0002311051,0.0002899133,0.0004200508,0.002050551,0.5677936,0.0001830718,0.000232572,0.07986967],"study_design_scores_gemma":[0.0001562607,0.01861525,0.7727104,0.00006261133,0.0003491077,0.00136938,0.0004044999,0.01534817,0.1897851,0.0002371404,0.0009120912,0.00004995691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994244,0.0004066461,0.005018398,0.00001463333,0.00001255682,0.00003100855,0.00003656911,0.00001198535,0.000224077],"genre_scores_gemma":[0.9963537,0.0001767158,0.003124403,0.00002362096,0.00001463652,0.00006331656,0.0001187004,0.000004779014,0.0001200422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001613062,"threshold_uncertainty_score":0.008530796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036005659938586,"score_gpt":0.3393416197036001,"score_spread":0.2989815631042143,"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."}}