{"id":"W4296770654","doi":"10.1016/j.healun.2022.08.030","title":"Donor heart selection: Evidence-based guidelines for providers","year":2022,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Abbott Vascular; National Institutes of Health; Astellas Pharma; Abiomed; Natera; National Heart, Lung, and Blood Institute; Vifor Pharma; CareDx; Pfizer; LivaNova; Boston Scientific Corporation; Therakos; Alexion Pharmaceuticals; Alnylam Pharmaceuticals; Atara Biotherapeutics; Gilead Sciences; Sanofi; Amgen; AstraZeneca; Eli Lilly and Company","keywords":"Selection (genetic algorithm); Medicine; Computer science; Artificial intelligence","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":[0.04188895,0.002734056,0.004953282,0.007529465,0.003832236,0.008994371,0.007017203,0.0172827,0.009668956],"category_scores_gemma":[0.1327102,0.001525359,0.006343567,0.004942992,0.002680738,0.006855053,0.006109384,0.01465743,0.004930699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007910389,"about_ca_system_score_gemma":0.03672796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236188,"about_ca_topic_score_gemma":0.02911944,"domain_scores_codex":[0.9562013,0.01936273,0.01602485,0.001338209,0.00575682,0.001315939],"domain_scores_gemma":[0.8784596,0.06370228,0.01543483,0.002672111,0.03310813,0.006623098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003532236,0.0008131828,0.006927684,0.01988321,0.0007190795,0.001027319,0.00126964,0.003060711,0.0003871245,0.01259281,0.5889537,0.3640123],"study_design_scores_gemma":[0.002171937,0.0004143669,0.01525498,0.3358719,0.002286642,0.002921042,0.004345467,0.00566151,0.001083257,0.06299549,0.5664732,0.0005200967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003339036,0.2238514,0.03466633,0.6830422,0.009510089,0.005190567,0.003411452,0.001015583,0.03597345],"genre_scores_gemma":[0.05844068,0.2849183,0.4255582,0.1850539,0.01136788,0.01250625,0.009455364,0.0005270764,0.01217235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04188895,"threshold_uncertainty_score":0.2215326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06803737600943963,"score_gpt":0.3500723756976578,"score_spread":0.2820349996882181,"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."}}