{"id":"W2993233214","doi":"10.1016/j.healun.2019.11.023","title":"Flow-targeted pediatric ex vivo heart perfusion in donation after circulatory death: A porcine model","year":2019,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; James H. Cummings Foundation","keywords":"Ex vivo; Perfusion; Circulatory system; Medicine; Donation; Organ donation; Cardiology; Intensive care medicine; Internal medicine; In vivo; Transplantation; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102009,0.0005154109,0.0004781933,0.0002821997,0.0003130542,0.000801312,0.0005710805,0.0006721471,0.00216902],"category_scores_gemma":[0.0003427012,0.0001964683,0.0004777191,0.0001881145,0.0009708729,0.0007382513,0.000321595,0.001737306,0.0002625711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662617,"about_ca_system_score_gemma":0.0005491373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002724433,"about_ca_topic_score_gemma":0.0003064817,"domain_scores_codex":[0.9997577,0.00006701188,0.00001371598,0.00007128366,0.00003822703,0.00005201797],"domain_scores_gemma":[0.999689,0.00008579748,0.00007944791,0.00006631086,0.0000146883,0.00006483496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01423848,0.006415034,0.00585334,0.001099066,0.0001373783,0.002720787,0.000724959,0.005383558,0.9147529,0.00718634,0.002199986,0.03928815],"study_design_scores_gemma":[0.002782332,0.1166111,0.03338676,0.0005585148,0.0009759613,0.01161957,0.001379318,0.02719764,0.7674738,0.004546006,0.03329007,0.0001791074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652274,0.002657341,0.02673495,0.0004118077,0.0003176909,0.0004641905,0.0005632605,0.0001497205,0.0034735],"genre_scores_gemma":[0.9843473,0.002083256,0.01049598,0.0002612327,0.00008464145,0.000508876,0.0008352381,0.00003407391,0.001349285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00216902,"threshold_uncertainty_score":0.007256091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301028590446724,"score_gpt":0.2796477779757849,"score_spread":0.2666374920713177,"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."}}