{"id":"W4390747745","doi":"10.1016/j.metabol.2024.155785","title":"Minireview: Understanding and targeting inflammatory, hemodynamic and injury markers for cardiorenal protection in type 1 diabetes","year":2024,"lang":"en","type":"article","venue":"Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Merck Canada; University of Toronto; National Heart, Lung, and Blood Institute; Gilead Sciences; Sanofi; Horizon Pharma; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Cardiorenal syndrome; Diabetes mellitus; Disease; Type 2 diabetes; Kidney disease; Internal medicine; Intensive care medicine; Bioinformatics; Endocrinology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001426592,0.001291722,0.002618371,0.001306692,0.0004711618,0.00200512,0.001530856,0.002836967,0.00782223],"category_scores_gemma":[0.002092693,0.0004010189,0.0009491311,0.001070887,0.0007499976,0.002323986,0.0009263424,0.005407449,0.003832962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036043,"about_ca_system_score_gemma":0.001743269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007362022,"about_ca_topic_score_gemma":0.001669182,"domain_scores_codex":[0.9993528,0.000121815,0.00009815001,0.0001235821,0.0002335554,0.00007022792],"domain_scores_gemma":[0.9982777,0.0006138987,0.0001947555,0.00004291294,0.0005911212,0.0002795822],"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":[0.000369901,0.0001086814,0.000225326,0.01013709,0.0003119839,0.0002274696,0.00005769845,0.0002172,0.002751975,0.001939079,0.6593419,0.3243117],"study_design_scores_gemma":[0.00007098376,0.0001276334,0.000937189,0.001684154,0.0002987967,0.000482421,0.0000577297,0.0001022564,0.0005723739,0.001678022,0.993957,0.00003142945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001883709,0.9366395,0.0003404978,0.009158972,0.05224277,0.00002058613,0.00006906062,0.00003159809,0.001308753],"genre_scores_gemma":[0.001544273,0.8952621,0.0004508033,0.006943647,0.09162025,0.00002914534,0.00008862945,0.00001444421,0.004046763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00782223,"threshold_uncertainty_score":0.02616793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832127634573974,"score_gpt":0.2555746568798122,"score_spread":0.2372533805340725,"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."}}