{"id":"W4300024867","doi":"","title":"Continuous Monitoring of Glucose for Type 1 Diabetes: A Health Technology Assessment.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes Management and Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glucose meter; Diabetes mellitus; Glycemic; Type 1 diabetes; Blood glucose monitoring; Blood Glucose Self-Monitoring; Insulin; Continuous glucose monitoring; Type 2 diabetes; Self-monitoring; Diabetes management; Confidence interval; Intensive care medicine; Internal medicine; Emergency medicine; Endocrinology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005966353,0.00007276322,0.0002700469,0.0002561923,0.00005192735,0.00001041337,0.000113723,0.00005734252,0.00001339999],"category_scores_gemma":[0.0002257806,0.00006012351,0.00004281264,0.0003942172,0.0001386647,0.00003624828,0.00007118135,0.00009264024,0.00000642867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000619788,"about_ca_system_score_gemma":0.00006042495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002382377,"about_ca_topic_score_gemma":7.190055e-7,"domain_scores_codex":[0.9989477,0.00001607134,0.0001897521,0.0001661203,0.0001732617,0.0005071327],"domain_scores_gemma":[0.9993041,0.00004666258,0.00008265688,0.0002360481,0.0002295594,0.0001010422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005317688,0.0001562984,0.3582279,0.0003143631,0.0001296485,8.897462e-7,0.00002185227,5.534097e-8,0.0006341332,0.0005203286,0.002871221,0.6370701],"study_design_scores_gemma":[0.002821675,0.001853374,0.8968647,0.0001277012,0.00007404491,3.896809e-7,0.0004105427,0.0001219728,0.02429383,0.0007183967,0.07257307,0.0001402836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987582,0.0008409661,0.0001165063,0.004101467,0.0005675636,0.002145991,0.00000404658,0.00009907863,0.004542347],"genre_scores_gemma":[0.9940546,0.00004625756,0.001863758,0.000106312,0.0003253976,0.0008002699,0.00000689734,0.0000176834,0.002778856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6369299,"threshold_uncertainty_score":0.2451766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06652252031922391,"score_gpt":0.3719962989339946,"score_spread":0.3054737786147707,"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."}}