{"id":"W2957039096","doi":"10.1007/s40472-019-00251-4","title":"Machine Perfusion of Donor Heart: State of the Art","year":2019,"lang":"en","type":"article","venue":"Current Transplantation Reports","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"","keywords":"Machine perfusion; Medicine; Perfusion; Heart transplants; Heart transplantation; Human heart; Transplantation; Transplant surgery; Warm ischemia; Intensive care medicine; Cardiology; Ischemia; Surgery; Reperfusion injury","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":[0.0003064882,0.000118523,0.0003166257,0.00008340575,0.00002834477,0.000003741199,0.00004541906,0.00003337594,0.0002021747],"category_scores_gemma":[0.00001319622,0.00007696931,0.0001869878,0.0001747483,0.00004896849,0.00006374862,0.000005105513,0.0001347123,0.00000938016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001105692,"about_ca_system_score_gemma":0.00008879424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606369,"about_ca_topic_score_gemma":0.00001282616,"domain_scores_codex":[0.9986183,0.00006817105,0.0006190501,0.0001938799,0.0003822779,0.0001182933],"domain_scores_gemma":[0.9991655,0.00008306745,0.0002826521,0.000304118,0.000111354,0.00005326577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003005168,0.0001520638,0.9276236,0.001929091,0.00003444271,0.00002501263,0.0009288267,0.0001462862,0.05843902,0.00010403,0.00007726037,0.0102399],"study_design_scores_gemma":[0.001050434,0.00009884015,0.8969496,0.0006721133,0.0002602117,0.0004934569,0.00001272134,0.0001041154,0.09712768,0.0001324046,0.003004391,0.0000940755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936993,0.0006161705,0.002815063,0.0002468442,0.001072127,0.0006025627,0.00006828582,0.00002306625,0.0008565841],"genre_scores_gemma":[0.9973015,0.0007586735,0.001265973,0.00005046831,0.00001992896,0.000006471089,0.0001448382,0.00001263697,0.0004395687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03868866,"threshold_uncertainty_score":0.3138717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713441859937766,"score_gpt":0.3075723663564501,"score_spread":0.2904379477570724,"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."}}