{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001118809,0.0002338486,0.0004078272,0.0002097749,0.001964514,0.00004816152,0.0005625197,0.0002926062,0.0001019791],"category_scores_gemma":[0.0004263235,0.0002292161,0.0001100908,0.0001187574,0.000126352,0.0002763583,0.00009237528,0.0003073693,0.0001223849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677681,"about_ca_system_score_gemma":0.0003752412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006433514,"about_ca_topic_score_gemma":0.0002797867,"domain_scores_codex":[0.9970584,0.000129473,0.0008094604,0.0005768772,0.0002289659,0.00119681],"domain_scores_gemma":[0.9966727,0.0009736425,0.0007296978,0.001056104,0.000206547,0.0003613202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003935596,0.0009073226,0.5829254,0.01616376,0.00008192201,0.000001022935,0.0004004259,0.00004493294,0.001360546,0.01566939,0.1543901,0.2276616],"study_design_scores_gemma":[0.01093578,0.0003094659,0.530746,0.001358368,0.00009324453,3.198734e-8,0.0002282204,0.0266025,0.0004891914,0.007263064,0.4214036,0.0005705769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358678,0.0004174198,0.007400655,0.01032269,0.002164829,0.04159576,0.0007560026,0.0003236772,0.001151181],"genre_scores_gemma":[0.813373,0.00008773385,0.008429904,0.003113886,0.0004194968,0.1730582,0.0004893127,0.00005888347,0.0009695738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670135,"threshold_uncertainty_score":0.9993348,"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."}}