{"id":"W2728194361","doi":"10.2196/mhealth.7263","title":"Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Medicine; Mobile phone; mHealth; Diabetes management; App store; Mobile apps; Phone; Calculator; Family medicine; Self-management; Type 2 diabetes; Nursing; World Wide Web; Psychological intervention; Endocrinology; Computer science","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":[0.001216656,0.0001527915,0.0003240847,0.0007482604,0.0005602695,0.0008183484,0.000366151,0.0006467325,0.001860871],"category_scores_gemma":[0.004849661,0.0003353421,0.0004785928,0.0007929958,0.0005549587,0.0008071174,0.0008524737,0.00088664,0.0003394825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009701697,"about_ca_system_score_gemma":0.0007948815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06861386,"about_ca_topic_score_gemma":0.06433887,"domain_scores_codex":[0.9990306,0.0001874308,0.0001986997,0.0001258218,0.0003169476,0.0001405993],"domain_scores_gemma":[0.9962974,0.0005691317,0.001792533,0.00009499041,0.0004967017,0.0007492109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005631178,0.0001032651,0.9902018,0.00005323424,0.00002672911,0.00009941994,0.006088355,0.0000123044,0.0003342152,0.000007370671,0.0002394286,0.00277765],"study_design_scores_gemma":[0.00000849207,0.0001603252,0.9928888,0.0000203727,0.000009521032,0.000143634,0.006427084,0.00006144419,0.000021824,0.000003684279,0.0002479166,0.00000682495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991277,0.0001014516,0.00002387171,0.0001538117,0.000003201763,0.00003230457,0.0001759831,0.000001748025,0.0003799529],"genre_scores_gemma":[0.9992466,0.0001582959,0.00008949229,0.0001352761,0.000005033973,0.00003297787,0.0001228236,0.000001452219,0.0002080949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06861386,"threshold_uncertainty_score":0.136429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05366097018253501,"score_gpt":0.4330111262851633,"score_spread":0.3793501561026283,"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."}}