{"id":"W4412587150","doi":"10.2196/72616","title":"Artificial Intelligence in Diabetic Kidney Disease Research: Bibliometric Analysis From 2006 to 2024","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01910782,0.0009786302,0.003995034,0.1775648,0.001161513,0.006107867,0.001578687,0.001250716,0.003340801],"category_scores_gemma":[0.09855709,0.0006124626,0.005145659,0.2688648,0.0009100062,0.004020553,0.003463962,0.001079826,0.0008615781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005366897,"about_ca_system_score_gemma":0.01237217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400318,"about_ca_topic_score_gemma":0.01490066,"domain_scores_codex":[0.9682868,0.005916473,0.01349785,0.002355386,0.009016447,0.0009269927],"domain_scores_gemma":[0.8811803,0.06158314,0.03107455,0.003110677,0.02126364,0.001787732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009797678,0.0001481,0.3439717,0.2500733,0.01605717,0.0009270674,0.004293074,0.002659028,0.0007854645,0.00384247,0.04570958,0.3305532],"study_design_scores_gemma":[0.0002737485,0.0003942991,0.6290139,0.1185795,0.02973751,0.002885669,0.005698165,0.003289957,0.001535689,0.003390722,0.2049111,0.0002898223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1270798,0.6614316,0.001942145,0.006479161,0.0005845156,0.0009352338,0.1888403,0.0004245887,0.01228268],"genre_scores_gemma":[0.4895985,0.4145518,0.007384126,0.001360574,0.0008531694,0.002190621,0.08244556,0.0001445871,0.001471068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8224353,"threshold_uncertainty_score":0.101053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04888532462776628,"score_gpt":0.3829506560281897,"score_spread":0.3340653314004234,"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."}}