{"id":"W4406845389","doi":"10.1016/j.ekir.2024.11.182","title":"WCN25-2890 REBRANDING TRANSPLANTATION: ELIMINATING THE ORGAN SHORTAGE THROUGH ARTIFICIAL INTELLIGENCE, XENOTRANSPLANTATION, REGENERATIVE MEDICINE, AND BIOARTIFICIAL ORGANS","year":2025,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Xenotransplantation and immune response","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Xenotransplantation; Medicine; Economic shortage; Regenerative medicine; Transplantation; Organ transplantation; Intensive care medicine; Surgery; Cell biology; Stem cell; Biology","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":[0.002401744,0.000658505,0.0003392096,0.001120723,0.001434778,0.005858975,0.001023548,0.004719697,0.06861348],"category_scores_gemma":[0.00253591,0.0002637106,0.0003953816,0.0006097549,0.001668869,0.0008846721,0.002152426,0.004815647,0.025787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00341096,"about_ca_system_score_gemma":0.01009542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992062,"about_ca_topic_score_gemma":0.06787398,"domain_scores_codex":[0.9986752,0.0001454902,0.00007983131,0.0001805041,0.000711882,0.0002069928],"domain_scores_gemma":[0.9971235,0.0002700946,0.0001496117,0.000121192,0.0009964685,0.001339095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002371054,0.000240679,0.0008491998,0.0002466336,0.00001849578,0.0006718035,0.0001221043,0.0002256163,0.005660194,0.03176061,0.8067784,0.153189],"study_design_scores_gemma":[0.00002348164,0.00006808966,0.0009795747,0.0001866882,0.000003619273,0.0001542282,0.00005631266,0.0001020158,0.001008526,0.001169033,0.9962387,0.000009851302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.009115654,0.02157745,0.00421596,0.1236369,0.04486623,0.0004312725,0.0008672742,0.0004389025,0.7948503],"genre_scores_gemma":[0.01588359,0.006960801,0.002751302,0.02252197,0.004161613,0.0001480886,0.0006588305,0.0002139223,0.9466997],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06861348,"threshold_uncertainty_score":0.229535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443857890371148,"score_gpt":0.3448442523891377,"score_spread":0.3104056734854262,"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."}}