{"id":"W2591690224","doi":"10.1111/dom.12930","title":"Lixisenatide reduces glycaemic variability in insulin‐treated patients with type 2 diabetes","year":2017,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Management and Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"Sanofi","keywords":"Postprandial; Medicine; Lixisenatide; Internal medicine; Placebo; Diabetes mellitus; Insulin; Basal (medicine); Body mass index; Area under the curve; Type 2 diabetes; Endocrinology; Type 1 diabetes; Basal insulin","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":[0.004220423,0.0006678537,0.003675248,0.0007748164,0.0001922068,0.0007743053,0.0003911708,0.0006350272,0.0007652317],"category_scores_gemma":[0.005075773,0.0004058451,0.003356122,0.0009341002,0.0002601703,0.0005075415,0.0004251151,0.0007733603,0.00007613333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044368,"about_ca_system_score_gemma":0.0004019946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005000241,"about_ca_topic_score_gemma":0.001127634,"domain_scores_codex":[0.9976088,0.001527416,0.0004208128,0.000176517,0.0001985028,0.00006798768],"domain_scores_gemma":[0.9973617,0.0009785237,0.001212768,0.0001833211,0.0001137954,0.0001499245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.6178071,0.002903786,0.07834944,0.005836123,0.09197931,0.0002818351,0.0001785053,0.00251909,0.008456307,0.00009880533,0.001023143,0.1905666],"study_design_scores_gemma":[0.261778,0.1700076,0.4881054,0.0007614026,0.06580938,0.0008110005,0.0002465885,0.004973845,0.003868665,0.0005644503,0.002931176,0.0001426384],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333361,0.06379671,0.0008934652,0.000277465,0.0001384003,0.0002914713,0.0004667748,0.00006049413,0.0007391653],"genre_scores_gemma":[0.9919996,0.006519119,0.0006501607,0.0001819095,0.00009565008,0.0001147155,0.000301141,0.000006978931,0.0001307406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004220423,"threshold_uncertainty_score":0.02232003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009965807097266683,"score_gpt":0.2470271955105999,"score_spread":0.2370613884133332,"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."}}