{"id":"W4394820047","doi":"10.1111/ctr.15309","title":"Transplant nephropathology: Wherefrom, wherein, and whereto","year":2024,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259689,0.0002188224,0.0003967797,0.0001101244,0.00007582301,0.00006123567,0.00004897944,0.0002167923,0.0002676465],"category_scores_gemma":[0.000009778348,0.0001654695,0.0002159395,0.0001575297,0.0001604092,0.0001749042,0.000003087034,0.0003301882,0.0002020115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001962146,"about_ca_system_score_gemma":0.00006898475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120725,"about_ca_topic_score_gemma":0.00002570245,"domain_scores_codex":[0.9983341,0.0001096935,0.0006062117,0.0005042553,0.0002125392,0.0002332141],"domain_scores_gemma":[0.9991353,0.0003930733,0.00003789504,0.0001650023,0.00003753682,0.0002312551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005238424,0.001041854,0.6874323,0.01205376,0.002122204,0.02280344,0.004399724,0.00001604686,0.01140764,0.01640396,0.0006934065,0.2363872],"study_design_scores_gemma":[0.008632782,0.001902906,0.9582375,0.004788061,0.003467873,0.005998133,0.0001043016,0.001401439,0.00191991,0.002121202,0.01080996,0.0006159864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653128,0.004445411,0.01694851,0.00244464,0.001061445,0.0007031696,0.0002428763,0.0004722467,0.008368912],"genre_scores_gemma":[0.9750446,0.01923587,0.003209526,0.000659436,0.000206734,0.00002653195,0.0003498688,0.00003922556,0.001228206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2708051,"threshold_uncertainty_score":0.6747652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011475845564116,"score_gpt":0.3870672854436039,"score_spread":0.3369525269879627,"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."}}