{"id":"W2309242694","doi":"10.2337/dc15-2322","title":"Long-term Benefits of Intensive Glucose Control for Preventing End-Stage Kidney Disease: ADVANCE-ON","year":2016,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Kidney disease; Diabetes mellitus; Dialysis; Hazard ratio; Internal medicine; Intensive care medicine; Type 2 diabetes; Randomized controlled trial; Cause of death; Disease; Endocrinology; Confidence interval","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":[0.002227695,0.0005495648,0.001350885,0.0002025077,0.0001879015,0.0006964749,0.0003144101,0.0005677271,0.00442165],"category_scores_gemma":[0.002120108,0.0001401411,0.001400536,0.0002453449,0.0003056897,0.0004328609,0.000481926,0.001276582,0.0002323334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295049,"about_ca_system_score_gemma":0.0004475481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003605732,"about_ca_topic_score_gemma":0.0009396828,"domain_scores_codex":[0.9993438,0.0003561209,0.00005315756,0.00008022741,0.0000786993,0.00008798132],"domain_scores_gemma":[0.9983998,0.0005063505,0.0005337862,0.0001153795,0.00009431047,0.00035047],"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":[0.8839771,0.006104262,0.01478052,0.002103218,0.003900182,0.00008601004,0.00005925895,0.0007402924,0.003396455,0.0002899491,0.001633313,0.08292948],"study_design_scores_gemma":[0.6113821,0.2444816,0.1198011,0.0008103501,0.01207785,0.0003331355,0.000112586,0.001651567,0.003282915,0.0007386284,0.005273444,0.00005482944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856169,0.01018509,0.000394385,0.0006230753,0.0001907674,0.0004058435,0.0007539791,0.00003235121,0.001797497],"genre_scores_gemma":[0.9911463,0.00402801,0.001244097,0.0005224305,0.0004516373,0.0003827027,0.0009146026,0.00000738777,0.001303039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00442165,"threshold_uncertainty_score":0.01479191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051797165034331,"score_gpt":0.2551768059825687,"score_spread":0.2446588343322254,"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."}}