{"id":"W4317721405","doi":"10.1177/20552076231152164","title":"Smartphone apps for mental health and wellbeing: A usage survey and machine learning analysis of psychological and behavioral predictors","year":2023,"lang":"en","type":"article","venue":"Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mental health; Psychology; Applied psychology; Smartphone app; Psychological health; Clinical psychology; Internet privacy; Computer science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001052432,0.0002124785,0.0006382993,0.0004693843,0.0002560157,0.00008574389,0.00009169766,0.00008746009,0.00002114057],"category_scores_gemma":[0.00006832951,0.0002031655,0.0001095459,0.000852521,0.0002311289,0.0002013376,0.0001299109,0.0001891711,0.000006988406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007130211,"about_ca_system_score_gemma":0.0000390868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098679,"about_ca_topic_score_gemma":0.0007820579,"domain_scores_codex":[0.9976427,0.0002165192,0.0007732582,0.0005838763,0.0001887096,0.0005949562],"domain_scores_gemma":[0.9985532,0.0003109509,0.0003220588,0.000190061,0.00003211901,0.0005916627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000429403,0.0007863212,0.8590518,0.0002936014,0.0002094271,0.000003185683,0.002430761,0.000001218983,0.000001673374,0.0007296349,0.001640999,0.1344219],"study_design_scores_gemma":[0.001401923,0.005699893,0.9892901,0.00008605867,0.00003212138,0.00002159406,0.0009640816,0.0004616371,0.000001294175,0.0002236177,0.001643951,0.000173736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916717,0.001582006,0.0001052253,0.0009674373,0.0002908956,0.000790056,0.00418835,0.000116532,0.000287744],"genre_scores_gemma":[0.9956297,0.0001700308,0.00008113788,0.0002566519,0.00001351313,0.00006135848,0.002713748,0.00002974379,0.001044074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342482,"threshold_uncertainty_score":0.828485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109544686607942,"score_gpt":0.4478411191618603,"score_spread":0.3382964325539182,"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."}}