{"id":"W6957827070","doi":"10.60692/rjmbb-94e68","title":"Effect of dapagliflozin on kidney and cardiovascular outcomes by baseline KDIGO risk categories: a post hoc analysis of the DAPA-CKD trial","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Dapagliflozin; Kidney disease; Hazard ratio; Post-hoc analysis; Clinical endpoint; Renal function; Proportional hazards model; Kidney; Heart failure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01234199,0.003207272,0.006899932,0.0004679767,0.0004687244,0.002074177,0.001138397,0.001850876,0.004315875],"category_scores_gemma":[0.01192324,0.0008549091,0.008959391,0.0004967644,0.001269508,0.001781232,0.0009938986,0.003693609,0.0005722225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007658675,"about_ca_system_score_gemma":0.00100958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000834477,"about_ca_topic_score_gemma":0.0009727631,"domain_scores_codex":[0.992591,0.004956106,0.0004677986,0.0009175982,0.0004182358,0.000649295],"domain_scores_gemma":[0.9913093,0.005238589,0.001171644,0.001106548,0.0004897042,0.000684167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9764434,0.001032136,0.003745128,0.0004786874,0.01153652,0.00007359243,0.00004557455,0.0008801349,0.0009691942,0.0001202029,0.001166155,0.003509464],"study_design_scores_gemma":[0.7928436,0.09253401,0.05957888,0.0001376623,0.04056007,0.0001611433,0.0001109205,0.00730773,0.002730681,0.001011269,0.002846471,0.0001775544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832772,0.004951527,0.00185396,0.000729398,0.00108569,0.002048713,0.003455645,0.0001252162,0.002472708],"genre_scores_gemma":[0.9896186,0.0006414797,0.001299396,0.0005834913,0.0006939299,0.00257228,0.002606499,0.00006601301,0.001918365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01234199,"threshold_uncertainty_score":0.0652715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009013823644687924,"score_gpt":0.2048967771482048,"score_spread":0.1958829535035168,"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."}}