{"id":"W4406379670","doi":"10.1080/0886022x.2024.2444383","title":"Bibliometric study and visual analysis of postoperative diabetes mellitus in kidney transplant recipients based on WoSCC database","year":2025,"lang":"en","type":"article","venue":"Renal Failure","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Kidney transplant; Renal transplant; Internal medicine; Database; Intensive care medicine; Kidney transplantation; Kidney; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0002037484,0.0001769922,0.000551312,0.02575996,0.00004017186,0.00001807725,0.0000539249,0.00005635358,0.00006971506],"category_scores_gemma":[0.00006307953,0.0001272763,0.0001134487,0.03609857,0.00003310961,0.00006971086,0.000009366174,0.0001380375,0.000002391722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004457196,"about_ca_system_score_gemma":0.00008061477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001479661,"about_ca_topic_score_gemma":0.000111638,"domain_scores_codex":[0.9986793,0.0001111518,0.0003532322,0.0003311878,0.0003464151,0.0001787546],"domain_scores_gemma":[0.9992985,0.0002490627,0.00005963377,0.0001763375,0.00007504447,0.0001413972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006508431,0.00156781,0.991623,0.000139625,0.001607121,0.0001171664,0.0002238009,0.0001154762,0.001913716,0.0000209004,0.0000300504,0.001990487],"study_design_scores_gemma":[0.005777452,0.0009863049,0.9805923,0.001134432,0.002438367,7.723307e-7,0.00009528629,0.004678423,0.004122654,0.000001942601,0.00006971867,0.0001023135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979238,0.0001867406,0.0001998451,0.0005634067,0.00003105691,0.0004974295,0.0003956556,0.00001237979,0.0001896879],"genre_scores_gemma":[0.9982547,0.0001355252,0.0002895978,0.0005417458,0.000004137672,0.00002560112,0.0006397616,0.000007475803,0.000101515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01103067,"threshold_uncertainty_score":0.9852822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491557195547595,"score_gpt":0.3206259710596652,"score_spread":0.3057103991041892,"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."}}