{"id":"W1599923190","doi":"10.1089/dia.2014.0378","title":"The Performance and Usability of a Factory-Calibrated Flash Glucose Monitoring System","year":2015,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Research","field":"Medicine","cited_by":680,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"Abbott Diabetes Care","keywords":"Medicine; Diabetes mellitus; Usability; Continuous glucose monitoring; Blood Glucose Self-Monitoring; Type 2 diabetes; Body mass index; Biomedical engineering; Type 1 diabetes; Internal medicine; Endocrinology; Computer science","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":[0.005842153,0.0005643468,0.0003947895,0.0005197963,0.0002056394,0.000923981,0.0008952121,0.0005733731,0.001612572],"category_scores_gemma":[0.01193139,0.0002233363,0.0003176883,0.0003417532,0.0003256379,0.0005086859,0.0004649202,0.0002048549,0.0005169972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992788,"about_ca_system_score_gemma":0.0002958776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175533,"about_ca_topic_score_gemma":0.0008667161,"domain_scores_codex":[0.9952325,0.002038297,0.0003620595,0.0008353598,0.001408431,0.0001233325],"domain_scores_gemma":[0.9915976,0.00407935,0.0009745475,0.0008283175,0.002262712,0.0002575073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01163973,0.001254393,0.6746133,0.0006105524,0.0006028977,0.0003903123,0.001445417,0.00324708,0.1000507,0.000151826,0.001933839,0.2040599],"study_design_scores_gemma":[0.0007081423,0.0264969,0.8442325,0.000206435,0.0008873729,0.003466812,0.001619028,0.03094711,0.08468196,0.0002153082,0.006328396,0.0002100576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899018,0.0004402998,0.0081466,0.00005620706,0.00004144571,0.000091514,0.000208143,0.0002508609,0.0008630638],"genre_scores_gemma":[0.990813,0.000120201,0.008266157,0.00008077861,0.00002654835,0.00003709982,0.0003065856,0.00002734082,0.0003222828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005842153,"threshold_uncertainty_score":0.0308966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636641568760714,"score_gpt":0.2867981739974947,"score_spread":0.2504317583098876,"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."}}