{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004027527,0.0004877008,0.001611623,0.0007381138,0.001427146,0.00001274249,0.0003221812,0.000280225,0.0007696139],"category_scores_gemma":[0.0002286258,0.0004064416,0.0001157372,0.001544409,0.0001517039,0.0002563584,0.0001450815,0.001054056,0.0002617001],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00061938,"about_ca_system_score_gemma":0.01182443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890502,"about_ca_topic_score_gemma":0.0002077339,"domain_scores_codex":[0.992623,0.001473097,0.002302067,0.001119237,0.0005682441,0.001914308],"domain_scores_gemma":[0.9923756,0.002485471,0.001660238,0.0009990324,0.0003087015,0.002170969],"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":[0.001579245,0.0004842375,0.06768299,0.7748764,0.0001215,0.000001824048,0.00200851,0.00002931606,0.00002274449,0.01913672,0.04659986,0.08745667],"study_design_scores_gemma":[0.02598893,0.01586802,0.2953812,0.3443702,0.001563237,0.00003000477,0.002457932,0.0008801485,0.00006742492,0.001835661,0.3093981,0.002159162],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6341679,0.1204783,0.001288484,0.02742448,0.001113908,0.2085252,0.001266296,0.0006153514,0.005120054],"genre_scores_gemma":[0.6872413,0.1267835,0.003541305,0.05436579,0.0004836399,0.1256412,0.0007801912,0.0002381385,0.0009249502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305062,"threshold_uncertainty_score":0.9998729,"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."}}