{"id":"W2999181723","doi":"10.1177/1460458219896492","title":"Insights from user reviews to improve mental health apps","year":2020,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; King Khalid University","keywords":"Mental health; Usability; Personalization; Variety (cybernetics); Internet privacy; Thematic analysis; Psychological intervention; mHealth; Computer science; World Wide Web; App store; User experience design; Psychology; Human–computer interaction; Qualitative research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006829346,0.0002752401,0.0006746863,0.0001722471,0.000531027,0.0001762619,0.000446137,0.00008356098,0.0006695866],"category_scores_gemma":[0.00009560699,0.000238703,0.000207628,0.0003629094,0.00003370755,0.000613432,0.0001461013,0.000803733,0.005237645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005996929,"about_ca_system_score_gemma":0.0003882679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001833428,"about_ca_topic_score_gemma":0.00006350276,"domain_scores_codex":[0.9948121,0.0002847505,0.003495446,0.0001905954,0.0004382049,0.0007788769],"domain_scores_gemma":[0.9954769,0.00004703204,0.00161074,0.0003428157,0.00007024968,0.002452252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001340646,0.0002447704,0.00008912938,0.00044647,0.00005534696,0.000004937113,0.04234834,0.000003709788,0.000003324207,0.004977112,0.6648494,0.2868434],"study_design_scores_gemma":[0.00123813,0.002629149,0.001155353,0.0006815495,0.000004923307,0.00007683729,0.003300781,0.0001358986,0.0000124375,0.0005604298,0.9899821,0.0002223588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.135458,0.04560468,0.08410376,0.6300244,0.03900767,0.014749,0.002871913,0.0007126937,0.04746791],"genre_scores_gemma":[0.260322,0.001536196,0.05299572,0.6802904,0.002388533,0.0002583132,0.0003460193,0.0001403586,0.001722493],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3251327,"threshold_uncertainty_score":0.9955369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07813534877237509,"score_gpt":0.4123366334104938,"score_spread":0.3342012846381187,"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."}}