{"id":"W3215375111","doi":"10.2196/30766","title":"User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Mental health; Download; Psychology; User engagement; App store; Applied psychology; Internet privacy; Analytics; World Wide Web; Computer science; Social psychology; Data science; Psychiatry","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":[0.01087986,0.0003963207,0.001393597,0.004439692,0.001207728,0.002180364,0.0007389002,0.0008211465,0.004025953],"category_scores_gemma":[0.05970913,0.0005166695,0.002035894,0.003248484,0.001139884,0.002379296,0.002736225,0.00170231,0.001340838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796745,"about_ca_system_score_gemma":0.001735998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989527,"about_ca_topic_score_gemma":0.004331041,"domain_scores_codex":[0.9921144,0.002748475,0.001467137,0.001029619,0.002009871,0.0006305116],"domain_scores_gemma":[0.9215711,0.04210111,0.01740568,0.004221922,0.01257734,0.002123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001740163,0.001804681,0.8862571,0.003210238,0.0007533765,0.0003690653,0.04479117,0.00029757,0.00146345,0.0004519602,0.005082068,0.05377913],"study_design_scores_gemma":[0.00008003514,0.0008407384,0.9862177,0.0003360698,0.0001809602,0.0001757645,0.007550642,0.0004298121,0.0003544508,0.0001675484,0.0036149,0.00005126109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896221,0.0003936696,0.0008086627,0.0001142839,0.00001867513,0.002098346,0.004780853,0.00003642929,0.002127087],"genre_scores_gemma":[0.9835752,0.0003825216,0.002087231,0.0002419882,0.00006404665,0.00828203,0.003805858,0.0000543644,0.001506803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087986,"threshold_uncertainty_score":0.05753887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115846512997809,"score_gpt":0.4546568491065761,"score_spread":0.3430721978067952,"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."}}