{"id":"W4407190420","doi":"10.1093/ndt/gfae216","title":"Upcoming drug targets for kidney protective effects in chronic kidney disease","year":2024,"lang":"en","type":"review","venue":"Nephrology Dialysis Transplantation","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; Department of Medicine, Georgetown University; Astellas Pharma; University of Toronto; Sanofi; Kidney Foundation of Canada; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Canadian Society of Nephrology; Diabetes Canada; Novo Nordisk; Bayer","keywords":"Medicine; Kidney disease; Intensive care medicine; Cardiorenal syndrome; Kidney; Diabetes mellitus; Internal medicine; Disease; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003696616,0.0005045108,0.001909735,0.000934317,0.00009009323,0.00002503722,0.0001051514,0.0004508482,0.00004645665],"category_scores_gemma":[0.0002565247,0.0003952577,0.0008763307,0.0005429343,0.00007577364,0.00009534835,0.00001269696,0.0005300721,0.00009821595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779157,"about_ca_system_score_gemma":0.001964536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000321275,"about_ca_topic_score_gemma":0.00006285916,"domain_scores_codex":[0.9975675,0.0003010024,0.0007081933,0.0007612053,0.0002633641,0.0003986791],"domain_scores_gemma":[0.9985902,0.000360364,0.000193433,0.0002745912,0.00008907338,0.0004922933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002046765,0.0002884686,0.00004529409,0.2481269,0.002277026,0.001381797,0.001000203,0.00003287055,0.0004901848,0.0008059363,0.005957842,0.7375467],"study_design_scores_gemma":[0.003013622,0.0002112583,0.0004449508,0.0198155,0.02704327,0.00008631872,0.000003261532,0.002051189,0.0000264227,0.0004626636,0.9464118,0.0004297856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001105473,0.990545,0.002207983,0.001092778,0.0003372159,0.00521047,0.000286423,0.0001319397,0.00007766094],"genre_scores_gemma":[0.0009168843,0.9891516,0.0002973893,0.001227712,0.0005567386,0.002424017,0.004983628,0.000103021,0.0003389894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9404539,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990890455821515,"score_gpt":0.3121344376484506,"score_spread":0.2922255330902355,"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."}}