{"id":"W3034998851","doi":"10.2337/db20-1119-p","title":"1119-P: Alleviating Carbohydrate Counting Burden in Type 1 Diabetes (T1D) with the Artificial Pancreas and Empagliflozin (EMPA)","year":2020,"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; EMPA; Medicine; Carbohydrate; Internal medicine; Meal; Diabetes mellitus; Type 1 diabetes; Endocrinology; Type 2 diabetes; 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":[0.001316027,0.0006959056,0.002038541,0.0003205854,0.0002410813,0.000800757,0.0005887104,0.00129351,0.006482336],"category_scores_gemma":[0.001220457,0.0003975211,0.001027513,0.0003585267,0.0008885061,0.0009102936,0.0005266081,0.002031599,0.000545942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639752,"about_ca_system_score_gemma":0.0005508082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003471003,"about_ca_topic_score_gemma":0.0005506009,"domain_scores_codex":[0.9993514,0.0003297776,0.00006996758,0.0001195631,0.00006557482,0.00006380799],"domain_scores_gemma":[0.9993742,0.0002383931,0.000133056,0.00005705492,0.00003468485,0.0001626067],"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":[0.9218034,0.01424041,0.0007939945,0.001247373,0.0007355997,0.0000407946,0.00003999182,0.0002274296,0.01038924,0.0001551845,0.0003700672,0.04995659],"study_design_scores_gemma":[0.6466748,0.3420203,0.006002013,0.0001096893,0.0007183335,0.00008769188,0.00003000018,0.0008158347,0.002462802,0.0001601427,0.000892282,0.00002616542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938724,0.002690181,0.0007611527,0.0002281512,0.0002413646,0.0009372339,0.0002735768,0.00005044371,0.0009456063],"genre_scores_gemma":[0.9909329,0.001863645,0.002996743,0.0005688787,0.0003187056,0.001530694,0.0004074896,0.00001674762,0.001364153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006482336,"threshold_uncertainty_score":0.02168554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685079476448152,"score_gpt":0.2257354521016592,"score_spread":0.2088846573371777,"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."}}