{"id":"W2022962485","doi":"10.1177/0267659112449035","title":"Ex vivo perfusion of the swine heart as a method for pre-transplant assessment","year":2012,"lang":"en","type":"article","venue":"Perfusion","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; National Research Council Institute for Biodiagnostics","funders":"National Research Council Canada","keywords":"Preload; Medicine; Perfusion; Cardiology; Ex vivo; Transplantation; Cardiac output; Circulatory system; Stroke volume; Anesthesia; Cardiac function curve; Internal medicine; Blood pressure; Heart rate; Hemodynamics; In vivo; Heart failure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001069368,0.0001626831,0.0003548443,0.00006705512,0.00014413,0.000007170594,0.00009819813,0.000106586,0.0004744452],"category_scores_gemma":[0.00005818114,0.0000950477,0.0002545364,0.0001400729,0.0000345045,0.00008097711,0.00002999825,0.0001578571,0.000006143151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004083431,"about_ca_system_score_gemma":0.00009152071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002085508,"about_ca_topic_score_gemma":0.00001358503,"domain_scores_codex":[0.9986238,0.0001764,0.000328214,0.0001966903,0.0003902529,0.0002846355],"domain_scores_gemma":[0.9989901,0.0003747662,0.00009290855,0.0003220007,0.0000907428,0.0001294877],"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":[0.0005049063,0.0002847054,0.1298342,0.0003604306,0.0000214233,0.000001035662,0.002349837,0.000007294213,0.8534702,0.0008453887,0.0003842385,0.01193635],"study_design_scores_gemma":[0.0022069,0.0004104323,0.6824929,0.0004149024,0.0004368702,0.0001639104,0.0001991603,0.001199981,0.2943848,0.0001341816,0.01779672,0.0001592454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292596,0.0003245238,0.0640389,0.003056915,0.000650759,0.00108772,0.00004592101,0.00004109075,0.001494562],"genre_scores_gemma":[0.8211632,0.0001367112,0.1761362,0.0007134179,0.000286505,0.00003925386,0.00002601313,0.00002504025,0.001473651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5590854,"threshold_uncertainty_score":0.5194842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672612833688887,"score_gpt":0.4034027240826989,"score_spread":0.37667659574581,"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."}}