{"id":"W4377000813","doi":"10.2139/ssrn.4449379","title":"Banff 2022 Pancreas Transplantation Multidisciplinary Report: Refinement of Guidelines for TCMR, AMR, Islet and Non-Rejection Pathologies. Assessment of Duodenal Cuff Biopsies and Non-Invasive Diagnostic Methods","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Pancreas; Pancreas transplantation; Islet; Transplantation; Basiliximab; Biopsy; Grading (engineering); Immunosuppression; Pathology; Intensive care medicine; Internal medicine; Radiology; Kidney transplantation; Insulin","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":[0.002545814,0.0002783338,0.0003336256,0.001957078,0.001187877,0.001037264,0.0009184128,0.001952464,0.007696175],"category_scores_gemma":[0.007000771,0.000204135,0.0004206528,0.001013346,0.000448475,0.0005968246,0.001312049,0.002877096,0.002475522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621331,"about_ca_system_score_gemma":0.004752477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548668,"about_ca_topic_score_gemma":0.03332256,"domain_scores_codex":[0.9982072,0.0004799639,0.0003689421,0.0001137506,0.0005939104,0.0002363023],"domain_scores_gemma":[0.9936292,0.001239087,0.0004448734,0.0002174408,0.00305559,0.001413878],"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":[0.0002620727,0.0002141171,0.0348949,0.0004975632,0.00005371679,0.007507992,0.0004377905,0.0006217305,0.004460739,0.006693521,0.7745732,0.1697826],"study_design_scores_gemma":[0.00007467103,0.00007534983,0.06685388,0.00195549,0.00003750666,0.009103112,0.0005127953,0.001119551,0.0020248,0.002881235,0.9152467,0.0001149909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.08035337,0.03492576,0.02296472,0.3754987,0.04168134,0.001936928,0.01103671,0.001297247,0.4303052],"genre_scores_gemma":[0.4845103,0.01997953,0.1064764,0.1807184,0.01904033,0.001723939,0.03047139,0.001080406,0.1559994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01548668,"threshold_uncertainty_score":0.03079307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04046594567979233,"score_gpt":0.4110833499479544,"score_spread":0.370617404268162,"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."}}