{"id":"W3157115367","doi":"10.2196/24687","title":"Improving Management of Type 2 Diabetes Using Home-Based Telemonitoring: Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Diabetes management; Type 2 diabetes; Diabetes mellitus; Population; Cohort; Medical record; Electronic medical record; Emergency medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008990494,0.0002144043,0.000509539,0.0001421589,0.0006618705,0.00001197261,0.0002160098,0.0001495815,0.0002564898],"category_scores_gemma":[0.00007126451,0.0002137884,0.00007037054,0.0008007077,0.00004545112,0.00007825959,0.0001804379,0.0004121527,0.00007283343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208459,"about_ca_system_score_gemma":0.0006458084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006051053,"about_ca_topic_score_gemma":0.00001371358,"domain_scores_codex":[0.9969115,0.0003805388,0.0008953653,0.0005088818,0.0003732762,0.0009304772],"domain_scores_gemma":[0.9975783,0.000417675,0.0004330876,0.0008022787,0.0004648168,0.0003037901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009744094,0.0004465701,0.9853649,0.002731133,0.00006389309,0.000002818919,0.0001039504,0.00002697945,0.001494686,0.0001586493,0.0004017945,0.009194856],"study_design_scores_gemma":[0.001550421,0.0002012573,0.9833302,0.0005379546,0.0001511823,5.352251e-8,0.001892099,0.001980478,0.001502198,0.000106991,0.00847433,0.000272838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914019,0.000716204,0.000041125,0.0001607802,0.0009891118,0.005660162,0.00002144906,0.0001320988,0.0008771549],"genre_scores_gemma":[0.9889116,0.00005291144,0.002697106,0.000397935,0.0002857384,0.007206587,0.00004832397,0.00005214584,0.0003476883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008922018,"threshold_uncertainty_score":0.8718037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427922569732337,"score_gpt":0.4089063892587284,"score_spread":0.3661141322854947,"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."}}