{"id":"W2735039226","doi":"10.2196/diabetes.6468","title":"iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes management; Diabetes mellitus; Computer science; Password; World Wide Web; Medicine; Internet privacy; Multimedia; Type 2 diabetes; Computer security","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":[0.006829759,0.0005386434,0.0006409083,0.003372576,0.0005562967,0.002818079,0.0006342413,0.001263148,0.009324418],"category_scores_gemma":[0.04447364,0.0003374366,0.00156108,0.001720718,0.0005157671,0.002802161,0.001495393,0.001046236,0.002221076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004241762,"about_ca_system_score_gemma":0.001247894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172775,"about_ca_topic_score_gemma":0.002390424,"domain_scores_codex":[0.9942433,0.002318026,0.0007384188,0.0003229758,0.002170746,0.0002065141],"domain_scores_gemma":[0.9425744,0.04484885,0.005349974,0.00123677,0.005210128,0.0007799054],"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":[0.0006111154,0.0003620853,0.04164167,0.01069576,0.0003273228,0.0004589999,0.00219928,0.0001431891,0.002628847,0.001379399,0.02351395,0.9160384],"study_design_scores_gemma":[0.0004618372,0.005028979,0.3031151,0.0612049,0.003756802,0.01253737,0.005602577,0.00441603,0.01202445,0.007882917,0.5835263,0.0004427473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3269509,0.4538881,0.02172313,0.02960212,0.00231669,0.003062503,0.008185559,0.002725234,0.1515458],"genre_scores_gemma":[0.684264,0.2051665,0.06846148,0.01550704,0.002641942,0.002383502,0.004510979,0.0004912573,0.01657338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009324418,"threshold_uncertainty_score":0.03611964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700636860039768,"score_gpt":0.4146312127937089,"score_spread":0.3576248441933112,"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."}}