{"id":"W4381233952","doi":"10.2337/db23-800-p","title":"800-P: Predictors of HbA1c and dTIR Responses with iGlarLixi in Type 2 Diabetes—Patient-Level Exploratory Analyses of the LixiLan-L Trial","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":"Type 2 diabetes; Basal insulin; Medicine; Logistic regression; Internal medicine; Diabetes mellitus; Basal (medicine); Insulin; Endocrinology","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":[0.009162148,0.0008301238,0.001335353,0.0003517688,0.0001924947,0.001042008,0.0006909144,0.0007195254,0.002132041],"category_scores_gemma":[0.008077932,0.0003318175,0.002735749,0.0007991106,0.0003312619,0.001052777,0.000666472,0.001635442,0.0002395765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656871,"about_ca_system_score_gemma":0.000577557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759462,"about_ca_topic_score_gemma":0.0006239914,"domain_scores_codex":[0.9950508,0.003997094,0.0001584999,0.0003581303,0.0002413843,0.0001940377],"domain_scores_gemma":[0.9929028,0.004291158,0.00161108,0.0004664209,0.0002115207,0.0005170939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.3774133,0.001600122,0.5787395,0.0006897688,0.01174834,0.0001507166,0.0001814153,0.003127075,0.001408555,0.0003268828,0.001652094,0.02296228],"study_design_scores_gemma":[0.0443375,0.05428073,0.8641372,0.000178638,0.01163808,0.0003701124,0.0002855006,0.02025494,0.001258401,0.001199723,0.001955761,0.0001033783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99639,0.001144746,0.0005625336,0.000164482,0.00001626571,0.0001701157,0.0009825863,0.00002354055,0.0005456893],"genre_scores_gemma":[0.9961849,0.0002092146,0.001200559,0.0001258321,0.00005638662,0.0003680772,0.001508641,0.00001454912,0.0003319318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009162148,"threshold_uncertainty_score":0.04845464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06186928358178144,"score_gpt":0.2939043970536072,"score_spread":0.2320351134718258,"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."}}