{"id":"W2139562487","doi":"10.1007/s00125-008-1157-y","title":"Medical management of hyperglycaemia in type 2 diabetes mellitus: a consensus algorithm for the initiation and adjustment of therapy","year":2008,"lang":"en","type":"article","venue":"Diabetologia","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":715,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Insulet Corporation; Novo Nordisk; Sanofi; MannKind Corporation; GlaxoSmithKline; Servier; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Algorithm; Consensus algorithm; Psychological intervention; Type 2 Diabetes Mellitus; Medicine; Human physiology; Intensive care medicine; Diabetes mellitus; Type 2 diabetes; Computer science; Internal medicine; Nursing","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":[0.01990244,0.003915655,0.007135377,0.01157741,0.003843394,0.004799226,0.01069002,0.007193243,0.00288674],"category_scores_gemma":[0.0196312,0.001533959,0.008257942,0.003996366,0.00173493,0.004327395,0.004419851,0.01492,0.002196908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009035278,"about_ca_system_score_gemma":0.01540732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01493797,"about_ca_topic_score_gemma":0.01998158,"domain_scores_codex":[0.9843775,0.005085372,0.004544885,0.001230532,0.003897049,0.0008646211],"domain_scores_gemma":[0.9833767,0.003513524,0.002194649,0.0003561642,0.008609383,0.001949513],"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":[0.002071362,0.002703842,0.06785995,0.004036858,0.002370812,0.004442666,0.001625955,0.019828,0.002011435,0.01450544,0.2677615,0.6107823],"study_design_scores_gemma":[0.01265236,0.005748082,0.2648235,0.04949132,0.009551467,0.02166299,0.006692331,0.1763062,0.01068464,0.08085118,0.3595457,0.00199021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04631631,0.1118193,0.451035,0.2903453,0.01045075,0.01569215,0.004489709,0.007273772,0.06257775],"genre_scores_gemma":[0.1400631,0.02667859,0.7901243,0.01942449,0.002668385,0.007859007,0.008097772,0.0004488556,0.004635444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01990244,"threshold_uncertainty_score":0.1052554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889758420901146,"score_gpt":0.276434298285966,"score_spread":0.2475367140769545,"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."}}