{"id":"W2996864695","doi":"10.1007/s12325-019-01185-0","title":"Correction to: Combining GLP-1 Receptor Agonists and Basal Insulin in Older Adults with Type 2 Diabetes: Focus on Lixisenatide and Insulin Glargine","year":2019,"lang":"en","type":"erratum","venue":"Advances in Therapy","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lixisenatide; Medicine; Basal insulin; Insulin glargine; Internal medicine; Glucagon-like peptide 1 receptor; Endocrinology; Type 2 diabetes; Insulin; Diabetes mellitus; Basal (medicine); Receptor; Agonist","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001893086,0.0004007099,0.0005170696,0.0001696152,0.00004227057,0.00003830847,0.0001672601,0.0003434274,0.00002425313],"category_scores_gemma":[0.00009315694,0.0003459209,0.00003348314,0.0002581889,0.00008601066,0.00001971619,0.00005573158,0.0004958751,0.000005800568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004190553,"about_ca_system_score_gemma":0.0001233332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004330946,"about_ca_topic_score_gemma":0.0006564999,"domain_scores_codex":[0.9982645,0.0001132501,0.0003015405,0.0007589759,0.0001880442,0.0003736768],"domain_scores_gemma":[0.9992496,0.00005428042,0.0001759595,0.0003383089,0.00008941999,0.00009238805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00285116,0.0002282819,0.004273188,0.0001786028,0.0000750108,0.000004130144,0.0006759946,0.0001155859,0.001447705,0.00001107906,0.03872777,0.9514115],"study_design_scores_gemma":[0.005663357,0.002470122,0.005217988,0.001563172,0.00001010783,0.000001423378,0.000154866,0.0001180805,0.01204824,0.00008555535,0.9719451,0.0007220016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4174831,0.5726301,0.000008379855,0.00004095703,0.008194913,0.000549259,0.00003314192,0.00001115269,0.001049],"genre_scores_gemma":[0.1646602,0.8298666,0.000231241,0.001237593,0.0008499685,0.0001485025,0.0004651475,0.00009662416,0.002444108],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9506895,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004104802182319163,"score_gpt":0.2401947953812758,"score_spread":0.2360899931989567,"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."}}