{"id":"W2770842079","doi":"10.2196/mhealth.8781","title":"One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Diabetes Management and Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycated hemoglobin; Drop (telecommunication); Computer science; Glucose meter; Mobile apps; mHealth; Drop out; Mobile device; Medicine; Diabetes mellitus; World Wide Web; Nursing; Psychological intervention; Type 2 diabetes; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002240978,0.0007393408,0.0008042871,0.0007488704,0.0002937406,0.0005892706,0.0005669732,0.0006347622,0.0041205],"category_scores_gemma":[0.00701707,0.0002603619,0.0009351421,0.0003365295,0.0001605692,0.0006152338,0.000581518,0.0006326251,0.000400392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203083,"about_ca_system_score_gemma":0.0003710625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833144,"about_ca_topic_score_gemma":0.002650198,"domain_scores_codex":[0.9989173,0.000454548,0.0000935581,0.0001565383,0.0003073403,0.00007060169],"domain_scores_gemma":[0.9957405,0.002388533,0.0006711029,0.0001634565,0.0003505512,0.0006858346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1564704,0.08042375,0.131554,0.004231162,0.002915366,0.0002210451,0.001623859,0.001133553,0.007146425,0.0001678055,0.007463852,0.6066487],"study_design_scores_gemma":[0.02428729,0.2396024,0.7174602,0.0005693529,0.003217637,0.0003088323,0.0006992159,0.00666324,0.003416,0.0001602143,0.003482514,0.0001331326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945779,0.0004547179,0.0005251623,0.0001049958,0.00004685631,0.001440123,0.0009220754,0.000148505,0.001779711],"genre_scores_gemma":[0.9837008,0.001188443,0.008027555,0.0002688297,0.0001109444,0.002759916,0.001576756,0.00003489509,0.002331786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0041205,"threshold_uncertainty_score":0.01378447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016070809977355,"score_gpt":0.4237667447739007,"score_spread":0.3221596637761652,"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."}}