{"id":"W3021808388","doi":"10.1111/dom.14077","title":"<scp>iGlarLixi</scp> effectively reduces residual hyperglycaemia in patients with type 2 diabetes on basal insulin: A post hoc analysis from the <scp>LixiLan‐L</scp> study","year":2020,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Type 2 diabetes; Lixisenatide; Basal insulin; Metformin; Medicine; Insulin glargine; Basal (medicine); Internal medicine; Insulin; Endocrinology; Diabetes mellitus; Gastroenterology","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":[0.004063986,0.001285,0.003192392,0.0003360288,0.0002847062,0.00121736,0.0005366839,0.0007795551,0.003457966],"category_scores_gemma":[0.002187561,0.0004052715,0.005900093,0.0003838287,0.0007863992,0.0007382995,0.0004189123,0.002246515,0.0004329919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512682,"about_ca_system_score_gemma":0.001023629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008224589,"about_ca_topic_score_gemma":0.00204583,"domain_scores_codex":[0.9981322,0.001233625,0.000135483,0.0001882941,0.00009370039,0.0002167068],"domain_scores_gemma":[0.9976013,0.001061357,0.0004549035,0.0002872558,0.0001519679,0.0004431667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9661262,0.005074982,0.002665589,0.0004459083,0.004124444,0.00005903839,0.00004498181,0.0004302101,0.003275639,0.00004471049,0.0006587003,0.0170498],"study_design_scores_gemma":[0.5258707,0.4323364,0.02815945,0.00007904944,0.008365248,0.00009675304,0.000113132,0.001271533,0.002193022,0.0001501105,0.001304738,0.00005976874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956233,0.001944456,0.0002775568,0.0002520451,0.000135284,0.0004333885,0.0005689373,0.00005060077,0.0007145192],"genre_scores_gemma":[0.9954116,0.001094283,0.0007621759,0.0003999155,0.0001735518,0.0004419743,0.0009227233,0.0000215034,0.0007722306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004063986,"threshold_uncertainty_score":0.02149266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00812366234545442,"score_gpt":0.20665570532735,"score_spread":0.1985320429818956,"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."}}