{"id":"W4390126313","doi":"10.1016/j.jval.2023.09.292","title":"EE19 Cost Utility Analysis of the Flash Glucose Monitoring System in the Management of People With Type 2 Diabetes Mellitus on Basal Insulin Therapy—An Italian Healthcare System Perspective","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Perspective (graphical); Flash (photography); Basal insulin; Basal (medicine); Medicine; Type 2 Diabetes Mellitus; Health care; Diabetes mellitus; Continuous glucose monitoring; Diabetes management; Intensive care medicine; Type 2 diabetes; Internal medicine; Endocrinology; Computer science; Type 1 diabetes; Economics; Artificial intelligence; Economic growth; Art","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":[0.003165594,0.0006983811,0.0005955952,0.001734579,0.0001723735,0.001711223,0.0005565348,0.0006894975,0.006118555],"category_scores_gemma":[0.00664754,0.0002090907,0.001927034,0.002168956,0.0003005138,0.0005578729,0.000692681,0.0007229628,0.0003846014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258106,"about_ca_system_score_gemma":0.002125899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03535767,"about_ca_topic_score_gemma":0.01431371,"domain_scores_codex":[0.9976767,0.001522438,0.00005611389,0.0001300469,0.0003394467,0.0002753066],"domain_scores_gemma":[0.9974643,0.001662833,0.0002517612,0.0001215713,0.0003877316,0.0001117848],"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":[0.01226182,0.000945335,0.2515916,0.001642347,0.005614773,0.001589124,0.0002758774,0.4252813,0.002245345,0.05670438,0.05002214,0.1918259],"study_design_scores_gemma":[0.001261679,0.003597728,0.4584235,0.001197432,0.004792586,0.001302633,0.001095912,0.4545553,0.001739463,0.0169267,0.05494543,0.000161759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8080844,0.02695475,0.02201277,0.01685234,0.0004571713,0.0004927936,0.02662514,0.0001768398,0.09834386],"genre_scores_gemma":[0.9875461,0.00209047,0.002459759,0.0006735541,0.0002191809,0.00007694551,0.004163187,0.00003106148,0.002739672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03535767,"threshold_uncertainty_score":0.07030368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06278408498487052,"score_gpt":0.3459557669578232,"score_spread":0.2831716819729526,"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."}}