{"id":"W4210783935","doi":"10.2196/31629","title":"Medication Optimization Among People With Type 2 Diabetes Participating in a Continuous Glucose Monitoring–Driven Virtual Care Program: Prospective Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Type 2 diabetes; Hypoglycemia; Diabetes management; Glycated hemoglobin; Prospective cohort study; Discontinuation; Telemedicine; Diabetes mellitus; Sulfonylurea; Medical prescription; Dosing; Internal medicine; Endocrinology; Health care; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233814,0.0003893035,0.0004434048,0.0007689807,0.001077068,0.001091323,0.0004163133,0.0007700605,0.001417519],"category_scores_gemma":[0.002271864,0.0006207876,0.0009810176,0.001018691,0.0003182722,0.0007399096,0.0007373021,0.0009983971,0.0002832364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278002,"about_ca_system_score_gemma":0.0004153667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005014945,"about_ca_topic_score_gemma":0.00564664,"domain_scores_codex":[0.9990634,0.0003506684,0.0001101883,0.0001730012,0.0001454155,0.0001572882],"domain_scores_gemma":[0.9984274,0.0002917958,0.000618119,0.0001213494,0.0001655776,0.0003758485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007659958,0.001568975,0.9948081,0.00003296284,0.0001285979,0.00007422137,0.0002853163,0.00002592445,0.0001173815,0.000009473545,0.00006950762,0.002113585],"study_design_scores_gemma":[0.0001985941,0.003303044,0.9946527,0.00002259774,0.0001518731,0.0002171309,0.000897949,0.0002044742,0.00007118766,0.0000137601,0.0002550284,0.00001164944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994543,0.0001075214,0.0000372671,0.00001223305,0.000004619415,0.00005372987,0.0001012247,0.000001474038,0.0002276504],"genre_scores_gemma":[0.9992172,0.0001171136,0.0001541649,0.00006585377,0.00001602467,0.000090306,0.00019232,0.000001565282,0.0001454573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005014945,"threshold_uncertainty_score":0.009971559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704708641854984,"score_gpt":0.3706181201456434,"score_spread":0.3435710337270936,"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."}}