{"id":"W2908785454","doi":"10.2196/12658","title":"Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Medicine; Diabetes management; Family medicine; Public health; Disease; Type 2 diabetes; China; Type 1 diabetes; Multivariate analysis; Gerontology; Internal medicine; Nursing; Endocrinology; Geography","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":[0.00103611,0.000194401,0.0002717009,0.001099932,0.0007330345,0.000542703,0.0002856677,0.0004413215,0.001346432],"category_scores_gemma":[0.001716973,0.0002762037,0.0003643847,0.001425774,0.0003154664,0.000738739,0.0007608025,0.000514277,0.0002570077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000861212,"about_ca_system_score_gemma":0.00101779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02797516,"about_ca_topic_score_gemma":0.03919096,"domain_scores_codex":[0.9993646,0.0001088962,0.0001335768,0.0001035115,0.0001680789,0.0001214594],"domain_scores_gemma":[0.9981263,0.0002594454,0.0006762453,0.00006883593,0.0003069655,0.0005622162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001441224,0.00005081801,0.9965431,0.00003143963,0.00001155052,0.00005209422,0.0009816263,0.00001339281,0.0001128666,0.00001020019,0.0002662013,0.001912164],"study_design_scores_gemma":[0.000003709628,0.00005109061,0.9977944,0.00001325869,0.000008538083,0.00007952143,0.00160456,0.00009249224,0.00002749697,0.000005945826,0.0003140554,0.000004993117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998632,0.00009989175,0.00002380638,0.0001454278,0.000003171294,0.00002780218,0.0005096637,0.000002840404,0.0005554064],"genre_scores_gemma":[0.9983538,0.0002528615,0.000117589,0.0002551535,0.00000795191,0.00006065643,0.0005700009,0.000001370141,0.0003806584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02797516,"threshold_uncertainty_score":0.0556246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432019205724818,"score_gpt":0.393672997318633,"score_spread":0.3493528052613848,"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."}}