{"id":"W4381377391","doi":"10.2337/db23-788-p","title":"788-P: Predictors of Achieving Target HbA1c <7% in People with Type 2 Diabetes Advancing Treatment with iGlarLixi","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":"Medicine; Type 2 diabetes; Glycemic; Post-hoc analysis; Internal medicine; Insulin; Logistic regression; Endocrinology; Diabetes mellitus; Post hoc","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":[0.005159951,0.001169143,0.004401642,0.0007542821,0.0002157095,0.001345014,0.0005475646,0.000922937,0.002028253],"category_scores_gemma":[0.0059911,0.000528621,0.01196136,0.001070458,0.0002537027,0.0007279193,0.0006705425,0.0009196881,0.0002130281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025842,"about_ca_system_score_gemma":0.000598729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002354478,"about_ca_topic_score_gemma":0.003237728,"domain_scores_codex":[0.9969503,0.002104152,0.0003153344,0.0003337023,0.000159225,0.0001372804],"domain_scores_gemma":[0.9975111,0.001299884,0.0006604664,0.0001726115,0.000205471,0.0001503906],"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":[0.4856616,0.0005039302,0.1197442,0.00709906,0.3340739,0.0001563658,0.0001150941,0.001285239,0.001476467,0.0001218645,0.002246334,0.04751597],"study_design_scores_gemma":[0.1170619,0.03181649,0.2729812,0.001225321,0.5663072,0.0002753358,0.0002445431,0.005442659,0.001118585,0.0006163261,0.002805186,0.0001053316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092671,0.08254323,0.001783757,0.0007554676,0.0004600307,0.0005079533,0.003009052,0.0001135131,0.001559867],"genre_scores_gemma":[0.9922354,0.004448614,0.0009300786,0.0003056836,0.0002172315,0.0003007378,0.001074784,0.00001170893,0.0004755837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005159951,"threshold_uncertainty_score":0.02728873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139535473311758,"score_gpt":0.2267178408478483,"score_spread":0.2185783053745366,"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."}}