{"id":"W2949024755","doi":"10.2337/db19-1198-p","title":"1198-P: The M-EASE Studies: A Modeling and Simulation Approach to Further Characterize the Efficacy of Low-Dose Empagliflozin as Adjunctive to Insulin Therapy in Type 1 Diabetes (T1DM)","year":2019,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empagliflozin; Medicine; EMPA; Type 1 diabetes; Usability; Diabetes mellitus; Diabetic ketoacidosis; Insulin; Type 2 diabetes; Clinical trial; Internal medicine; Endocrinology; Computer science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001552004,0.000671196,0.0008111773,0.0004043269,0.0002501946,0.0007938581,0.001197476,0.001410825,0.004914273],"category_scores_gemma":[0.003241465,0.0003861639,0.001416594,0.0003524803,0.0003009622,0.0004510947,0.000607832,0.001171917,0.0002780898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000640963,"about_ca_system_score_gemma":0.001074572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177138,"about_ca_topic_score_gemma":0.009490961,"domain_scores_codex":[0.9997594,0.0001435402,0.00000998718,0.00003561964,0.00002904231,0.0000224129],"domain_scores_gemma":[0.9976233,0.00189954,0.0001709517,0.00009703714,0.0001354059,0.00007384956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003923659,0.0003866652,0.004205293,0.0001311298,0.0001481196,0.00007494292,0.00003136589,0.9816225,0.0009925333,0.004768222,0.001773453,0.005473441],"study_design_scores_gemma":[0.0001801733,0.0003219855,0.0007076138,0.0000166366,0.00004629474,0.00001537689,0.00001232708,0.9961223,0.0003915034,0.001038906,0.001136108,0.0000108445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7960402,0.001077552,0.1438376,0.002220809,0.0003577667,0.0009842704,0.006060133,0.0009436613,0.04847799],"genre_scores_gemma":[0.9403468,0.000454324,0.04863589,0.0004479465,0.0001262844,0.0009671382,0.002418711,0.0001223163,0.006480538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177138,"threshold_uncertainty_score":0.02340573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03263738746091734,"score_gpt":0.2871280840480964,"score_spread":0.254490696587179,"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."}}