{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008855553,0.0002651206,0.00062063,0.000240938,0.0003185442,0.0001735012,0.0002856376,0.0001386886,0.00006682951],"category_scores_gemma":[0.000942462,0.0001932491,0.00005974534,0.0002473476,0.0003863147,0.0004186528,0.0002669956,0.0003315878,0.00002675884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003267014,"about_ca_system_score_gemma":0.00005265242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004750206,"about_ca_topic_score_gemma":0.00001511342,"domain_scores_codex":[0.9980569,0.0001422615,0.0002666299,0.0005134528,0.000397219,0.0006235006],"domain_scores_gemma":[0.9985258,0.0001301781,0.0001478943,0.0007006896,0.0002561794,0.0002392795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008821859,0.0005990913,0.9745827,0.0001713767,0.0001351691,0.000005009689,0.0000757627,6.288e-7,0.0007550442,0.0001264778,0.0001269742,0.02333349],"study_design_scores_gemma":[0.003092698,0.0001593163,0.988072,0.0001737609,0.0001680057,4.235064e-8,0.00001224538,0.0001787151,0.005327183,0.0005275909,0.002054745,0.0002336812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941955,0.0007691079,5.276036e-7,0.0003463956,0.0001975003,0.0007495751,0.00001738411,0.00005711182,0.00366692],"genre_scores_gemma":[0.9985101,0.0002059315,0.0002367827,0.0001807811,0.0001105532,0.00003208604,0.00008540003,0.00002714721,0.0006112727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0230998,"threshold_uncertainty_score":0.7880468,"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."}}