{"id":"W2910244894","doi":"10.2196/11941","title":"A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"","keywords":"mHealth; Analytics; Psychological intervention; Mobile apps; User engagement; Computer science; Internet privacy; Psychology; Data science; World Wide Web; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04057628,0.003878166,0.01003594,0.07550247,0.002693848,0.009135849,0.004496691,0.004015647,0.01045263],"category_scores_gemma":[0.1727368,0.002330871,0.01331506,0.05219122,0.002342156,0.006905565,0.006746706,0.002995613,0.001751376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008855111,"about_ca_system_score_gemma":0.04273646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357901,"about_ca_topic_score_gemma":0.02821342,"domain_scores_codex":[0.9634106,0.009463906,0.01771662,0.001739141,0.007084327,0.0005853294],"domain_scores_gemma":[0.8584129,0.09843048,0.01905689,0.00401029,0.01906005,0.001029492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001186081,0.00005226595,0.000761491,0.8221382,0.003446963,0.0001034617,0.0008508248,0.0002419387,0.000205746,0.001266879,0.005042861,0.1657707],"study_design_scores_gemma":[0.00005148075,0.00006528227,0.0009258965,0.9665815,0.008083017,0.00008651448,0.0003008861,0.0001079328,0.0001605168,0.000622034,0.02297842,0.00003642436],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001671777,0.9663292,0.005926235,0.001643686,0.0005345895,0.01254979,0.00626522,0.0002902618,0.004789388],"genre_scores_gemma":[0.009664828,0.9543462,0.01467728,0.0007476236,0.0001534541,0.01661641,0.003084603,0.00008592404,0.0006235385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07550247,"threshold_uncertainty_score":0.2145904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06830615241867151,"score_gpt":0.491760901215322,"score_spread":0.4234547487966505,"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."}}