{"id":"W4205198085","doi":"10.2196/30626","title":"Virtual Endocrinology Care Emphasizing Data-Driven Insights and Continuous Engagement and Its Impact on Glycemic Outcomes in Patients With Uncontrolled Diabetes: A Real-world Retrospective Case Series","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Diabetes mellitus; Retrospective cohort study; Type 2 diabetes; Cohort; Continuous glucose monitoring; Internal medicine; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001506239,0.0003976011,0.001019926,0.0004941045,0.0001800619,0.0001166541,0.0001462127,0.0000828376,0.00004101644],"category_scores_gemma":[0.0002315525,0.0002721834,0.0000623944,0.0004240621,0.0001626593,0.0003754916,0.0005412247,0.0004474557,0.000006046663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316008,"about_ca_system_score_gemma":0.00009242277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120004,"about_ca_topic_score_gemma":0.000404449,"domain_scores_codex":[0.9974201,0.0002450277,0.0003537014,0.0008130614,0.0004099788,0.0007581338],"domain_scores_gemma":[0.998461,0.0003495398,0.000124585,0.0006011233,0.000254521,0.0002092524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007484615,0.0003981621,0.9916327,0.000215501,0.0007205214,0.001030528,0.0011282,0.000007228972,0.0002300145,0.0001985352,0.00007542899,0.003614716],"study_design_scores_gemma":[0.01536295,0.004795137,0.9762662,0.0003589969,0.0002035992,0.000003402564,0.001649894,0.0004209712,0.0003807412,0.00003143682,0.0001867638,0.0003398873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961935,0.0007374652,1.768582e-7,0.0002605036,0.00008309991,0.001743016,0.000138397,0.00006955679,0.0007742348],"genre_scores_gemma":[0.9985119,0.0000734633,0.00004682813,0.000174688,0.00005501188,0.0001873789,0.0002858247,0.00004767989,0.0006172562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536649,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653686802361625,"score_gpt":0.3069855872209128,"score_spread":0.2904487191972965,"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."}}