{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02156716,0.0006841114,0.0007549591,0.01118895,0.002049975,0.005237023,0.0009544934,0.0009748311,0.001556023],"category_scores_gemma":[0.1385158,0.0005631432,0.0009623101,0.008192345,0.001436364,0.006958927,0.003205782,0.00102036,0.0004117959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002857816,"about_ca_system_score_gemma":0.004016173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003685306,"about_ca_topic_score_gemma":0.01122496,"domain_scores_codex":[0.9598703,0.02575507,0.004509818,0.001393385,0.007728386,0.0007430006],"domain_scores_gemma":[0.7960101,0.165583,0.01434624,0.003449622,0.01962305,0.0009879374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002736994,0.0001039907,0.06172373,0.02449138,0.0003841842,0.002375598,0.4412303,0.0003321339,0.00520855,0.006215393,0.02787673,0.4297844],"study_design_scores_gemma":[0.00004952772,0.0006531645,0.1441322,0.04024277,0.0009216457,0.004795325,0.3043748,0.002306263,0.004804115,0.006468528,0.4910005,0.0002511361],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7522334,0.1354669,0.0341628,0.02718629,0.001092009,0.001814555,0.004006336,0.0005868819,0.04345074],"genre_scores_gemma":[0.9244546,0.03937843,0.02289976,0.004888641,0.0003973017,0.001186493,0.001852269,0.0002951533,0.004647421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02156716,"threshold_uncertainty_score":0.1140594,"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."}}