{"id":"W2789621478","doi":"10.1080/00325481.2018.1450058","title":"Fixed-ratio combination therapy for type 2 diabetes: the top ten things you should know about insulin and glucagon-like peptide-1 receptor agonist combinations","year":2018,"lang":"en","type":"review","venue":"Postgraduate Medicine","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Sanofi","keywords":"Medicine; Liraglutide; Insulin glargine; Type 2 diabetes; Insulin degludec; Lixisenatide; Glycemic; Hypoglycemia; Insulin; Glucagon-like peptide 1 receptor; Combination therapy; Diabetes mellitus; Adverse effect; Pharmacology; Internal medicine; Agonist; 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":[0.002490491,0.0007121079,0.001234912,0.0005874963,0.0007765357,0.002345625,0.0008952611,0.002344924,0.01128746],"category_scores_gemma":[0.003640201,0.0002854635,0.001037301,0.000497653,0.0006847545,0.003040105,0.000800079,0.005864765,0.004068146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901757,"about_ca_system_score_gemma":0.0008482743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008564317,"about_ca_topic_score_gemma":0.004086674,"domain_scores_codex":[0.9985354,0.0004002779,0.0001249511,0.00008710741,0.0007774379,0.0000747787],"domain_scores_gemma":[0.9980843,0.0009303943,0.0002286226,0.00005118394,0.0003933384,0.0003121472],"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":[0.0006052178,0.000357909,0.0009861882,0.001516206,0.00009134677,0.0004797191,0.0001358433,0.0001763296,0.001515853,0.003894527,0.169318,0.8209228],"study_design_scores_gemma":[0.0006891327,0.00148683,0.002775499,0.004731697,0.0002231655,0.00351423,0.0003652667,0.0006948938,0.001118591,0.008465729,0.9758494,0.00008545408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007602296,0.709163,0.01086214,0.1998216,0.0125869,0.0004212928,0.0004014192,0.0007987842,0.05834255],"genre_scores_gemma":[0.03564418,0.7399719,0.04258097,0.1217009,0.02213078,0.0005885751,0.0005742016,0.0002922633,0.03651627],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01128746,"threshold_uncertainty_score":0.03776026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06877619568524193,"score_gpt":0.347579191084556,"score_spread":0.2788029953993141,"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."}}