{"id":"W2135692350","doi":"10.2196/mhealth.2432","title":"Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Self-management; Mobile phone; Intervention (counseling); Psychology; mHealth; Self-monitoring; Applied psychology; Mobile technology; Type 2 Diabetes Mellitus; Phone; Diabetes management; Mobile device; Type 2 diabetes; Medicine; Computer science; Diabetes mellitus; Social psychology; Psychological intervention; World Wide Web; Human–computer interaction","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":[0.002694407,0.0002623994,0.0003453131,0.0005671189,0.0008522872,0.001055914,0.0004639644,0.0005973752,0.002967865],"category_scores_gemma":[0.01062251,0.0001675816,0.0004376065,0.0003229629,0.0003235537,0.0008621636,0.001455761,0.0006090802,0.0003766844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003691718,"about_ca_system_score_gemma":0.0005658403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006123923,"about_ca_topic_score_gemma":0.001435159,"domain_scores_codex":[0.9983171,0.001006149,0.000127814,0.000105956,0.0002850538,0.0001579144],"domain_scores_gemma":[0.9953644,0.002457517,0.0007744422,0.0001845772,0.0003955553,0.0008234325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008146345,0.003149435,0.499088,0.0015253,0.0001503364,0.0009583374,0.06886056,0.0002466228,0.005763363,0.0001275626,0.002240784,0.4170751],"study_design_scores_gemma":[0.0001830218,0.008767957,0.9020731,0.00101913,0.000265548,0.002956383,0.06456526,0.001628488,0.002307902,0.0003507226,0.01577847,0.0001039476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961467,0.0004194013,0.0005761332,0.0004516686,0.00001515385,0.000110093,0.00005265995,0.00003194319,0.002196305],"genre_scores_gemma":[0.9965236,0.0004261651,0.001894074,0.0001974564,0.0000195052,0.0001891798,0.00008825694,0.000006817012,0.0006550413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002967865,"threshold_uncertainty_score":0.01424956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342555850783051,"score_gpt":0.3878656334098992,"score_spread":0.353610048331594,"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."}}