{"id":"W2981743123","doi":"10.1007/s12325-019-01126-x","title":"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":"review","venue":"Advances in Therapy","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sanofi","keywords":"Lixisenatide; Medicine; Insulin glargine; Type 2 diabetes; Population; Insulin; Diabetes mellitus; Basal insulin; Glucagon-like peptide 1 receptor; Intensive care medicine; Internal medicine; Endocrinology; Receptor","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":[0.001287268,0.0003482623,0.001071857,0.0008713789,0.0001073765,0.0006697177,0.000465974,0.000697337,0.001536452],"category_scores_gemma":[0.001545135,0.0001579144,0.0009909642,0.0007977928,0.0002514338,0.0009965716,0.0003887213,0.001258343,0.0003983238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791996,"about_ca_system_score_gemma":0.000687999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007108651,"about_ca_topic_score_gemma":0.001573504,"domain_scores_codex":[0.9996289,0.0001135332,0.0001157448,0.00004338014,0.000078257,0.00002019703],"domain_scores_gemma":[0.9991936,0.0005520684,0.0001370602,0.000008744488,0.00008452076,0.00002393481],"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":[0.0006156828,0.00007481666,0.0003873121,0.05389003,0.0004907774,0.0003327796,0.0001254181,0.0001963269,0.001080319,0.001597286,0.01128273,0.9299266],"study_design_scores_gemma":[0.0005150572,0.00185667,0.005377984,0.06990498,0.002471574,0.00357246,0.0002468541,0.000270611,0.001069968,0.002121582,0.9125309,0.00006147371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002918981,0.9988012,0.00005793819,0.000383887,0.0001003866,0.000005543851,0.000008547692,0.00000237878,0.0003481769],"genre_scores_gemma":[0.001563404,0.9971678,0.0002517965,0.0005905936,0.0002005128,0.00001353293,0.00001971221,0.00000155283,0.0001911926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001536452,"threshold_uncertainty_score":0.006807804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161049544311431,"score_gpt":0.2998611474260131,"score_spread":0.28375619299487,"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."}}