{"id":"W4283274605","doi":"10.2196/33264","title":"Smartphone Apps for Diabetes Medication Adherence: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Deakin University; National Health and Medical Research Council; Capstone Editing; National Heart Foundation of Australia","keywords":"Diabetes mellitus; Smartphone app; Mobile apps; Medication adherence; Medicine; App store; Rating scale; Android (operating system); Scale (ratio); Computer science; Psychology; Internet privacy; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005035208,0.001405681,0.00477821,0.008880878,0.0007436214,0.002019015,0.001589895,0.001525078,0.005628683],"category_scores_gemma":[0.03829258,0.0007108431,0.006153164,0.00836688,0.0006765595,0.002151145,0.001412916,0.001244505,0.0004665627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002165932,"about_ca_system_score_gemma":0.008996165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007857721,"about_ca_topic_score_gemma":0.02185252,"domain_scores_codex":[0.9945493,0.001706649,0.001790356,0.0003385132,0.001443955,0.0001712005],"domain_scores_gemma":[0.9662628,0.02436794,0.005427993,0.0003391459,0.00325952,0.0003426126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001683281,0.0000322792,0.001024067,0.9096336,0.003217361,0.00009635088,0.0002678605,0.00007007617,0.00009483539,0.0001533331,0.0029217,0.0823202],"study_design_scores_gemma":[0.0001745847,0.0002164525,0.00565579,0.9484444,0.02585167,0.0003481981,0.0002783584,0.0001034459,0.0001253562,0.0001947336,0.01857562,0.00003139711],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00117843,0.9972235,0.0001250427,0.0002238055,0.0001137077,0.0003785332,0.0003829075,0.00001296989,0.0003611128],"genre_scores_gemma":[0.01216995,0.9858167,0.0006481339,0.0003498841,0.0000947275,0.0005313329,0.0002485637,0.000005747725,0.0001350598],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008880878,"threshold_uncertainty_score":0.02662903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1177594418891633,"score_gpt":0.4921302625052373,"score_spread":0.374370820616074,"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."}}