{"id":"W4381377701","doi":"10.2337/db23-775-p","title":"775-P: Predictors of Glycemic Control in Older People with Type 2 Diabetes Treated with iGlarLixi—A Pooled Analysis","year":2023,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Medicine; Type 2 diabetes; Post-hoc analysis; Internal medicine; Logistic regression; Population; Endocrinology; Diabetes mellitus; Basal insulin; Insulin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008782869,0.001723846,0.006275092,0.002738007,0.0002278121,0.001703833,0.0007955734,0.001309874,0.002341053],"category_scores_gemma":[0.01044856,0.0007407336,0.02521554,0.003363125,0.0002546097,0.0008092564,0.001112849,0.0008954654,0.0003577217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005973,"about_ca_system_score_gemma":0.0007130604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005789146,"about_ca_topic_score_gemma":0.005717272,"domain_scores_codex":[0.9937034,0.003637158,0.0009662246,0.0009270574,0.0005548984,0.0002112556],"domain_scores_gemma":[0.994404,0.002884678,0.001496115,0.0004753518,0.0005448846,0.000194936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.04544534,0.0001004523,0.1168458,0.01238927,0.8069826,0.0001037664,0.00006486611,0.001098825,0.0006119304,0.00008351196,0.001779665,0.01449391],"study_design_scores_gemma":[0.008902202,0.002414072,0.1873512,0.001247378,0.7941695,0.0001321725,0.0001088553,0.002365593,0.0003027645,0.0002385945,0.002697534,0.00007004791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5698642,0.3975545,0.005283365,0.0006231303,0.001188123,0.0008462554,0.0217314,0.0003197259,0.002589386],"genre_scores_gemma":[0.967133,0.02252579,0.001983189,0.0004606972,0.0004521801,0.000954601,0.005560621,0.00004873291,0.0008811734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008782869,"threshold_uncertainty_score":0.04644877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004255156684363225,"score_gpt":0.2064754354955126,"score_spread":0.2022202788111494,"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."}}