{"id":"W4411227231","doi":"10.1097/01.tp.0001122880.18453.2c","title":"01-4: DEVELOPMENT OF A DONOR-BASED PREDICTIVE MODEL FOR PANCREAS DISCARD IN DECEASED DONOR TRANSPLANTATION IN THE U.S.","year":2025,"lang":"en","type":"article","venue":"Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transplantation; Medicine; Computer science; Internal medicine","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":[0.003473941,0.0005927585,0.000537831,0.001218427,0.0002809544,0.001042534,0.0008530307,0.0005051339,0.003500826],"category_scores_gemma":[0.004694563,0.0002816684,0.001029348,0.0006078939,0.0002351121,0.000325699,0.0007927541,0.001047728,0.0005272249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000825724,"about_ca_system_score_gemma":0.001623993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558788,"about_ca_topic_score_gemma":0.007241329,"domain_scores_codex":[0.9995989,0.0002082012,0.00002527179,0.00008448815,0.00003718381,0.0000459164],"domain_scores_gemma":[0.9981297,0.001254344,0.0002203938,0.00005704128,0.0002336271,0.0001050159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008353599,0.0005830512,0.4731134,0.0001266363,0.0006806193,0.0005873541,0.0001837131,0.4483672,0.0005611733,0.002995363,0.007612479,0.06435376],"study_design_scores_gemma":[0.00003140893,0.00006950084,0.0105358,0.00002654041,0.00004563552,0.0000518063,0.00003879713,0.9875454,0.00008004282,0.001051222,0.0005171535,0.000006701526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876452,0.0006182161,0.1011978,0.002156858,0.0001221627,0.0002580945,0.004838843,0.0006667764,0.002496101],"genre_scores_gemma":[0.975048,0.0002069009,0.01975423,0.0001236273,0.00005466185,0.0001891508,0.003354178,0.00002710369,0.001242207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01558788,"threshold_uncertainty_score":0.0309943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917604621849985,"score_gpt":0.299005703437736,"score_spread":0.2798296572192362,"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."}}