{"id":"W2809049864","doi":"10.2337/db18-161-lb","title":"Text Message Responsiveness to BG Monitoring (BGM) Reminders Improves A1c in Teens with Type 1 Diabetes (T1D)","year":2018,"lang":"en","type":"article","venue":"Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycemic; Medicine; Type 1 diabetes; Diabetes mellitus; Internal medicine; Pediatrics; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009339361,0.0002475721,0.0003772581,0.000241811,0.0001583388,0.0003145666,0.0001902134,0.0002783331,0.002001943],"category_scores_gemma":[0.004027544,0.0001042366,0.0004110677,0.0001863382,0.00009335285,0.0003330796,0.0002145196,0.0004491268,0.0001817831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434093,"about_ca_system_score_gemma":0.0002600498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655939,"about_ca_topic_score_gemma":0.001448902,"domain_scores_codex":[0.9997224,0.0001142137,0.00002618091,0.00003340631,0.00006140248,0.00004239757],"domain_scores_gemma":[0.9987975,0.0005500969,0.0003393983,0.0000235918,0.0001037617,0.0001856081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01072309,0.01505443,0.6424864,0.001250895,0.0005522884,0.000296415,0.002214339,0.000814027,0.01035263,0.0001046634,0.003868858,0.312282],"study_design_scores_gemma":[0.001774073,0.05275382,0.9282818,0.0004433824,0.0009813523,0.0004621303,0.001560594,0.004671862,0.004548576,0.0001905361,0.004298709,0.00003317683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988102,0.0004374367,0.0001464084,0.0001251426,0.00002847651,0.00003044938,0.00007920483,0.00002042682,0.0003223233],"genre_scores_gemma":[0.9974,0.0007215893,0.0009739128,0.0001698373,0.00005722655,0.00007933361,0.0001980247,0.000006403,0.0003937071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001943,"threshold_uncertainty_score":0.006697178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479719674530785,"score_gpt":0.3841634578414564,"score_spread":0.3493662610961486,"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."}}