{"id":"W2970478856","doi":"10.2196/13236","title":"Mental Health Apps in China: Analysis and Quality Assessment","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Mobile phone; mHealth; Population; Medicine; Psychological intervention; Psychology; Psychiatry; Nursing; Environmental health; Computer science","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":[0.01348933,0.0006666048,0.001349257,0.01510206,0.0008689769,0.001992145,0.0008222943,0.0004907846,0.001486642],"category_scores_gemma":[0.03181146,0.0003448512,0.003361994,0.01360138,0.0007191696,0.001459244,0.001760061,0.0005506575,0.0001412836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00388747,"about_ca_system_score_gemma":0.0096305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02767039,"about_ca_topic_score_gemma":0.02376217,"domain_scores_codex":[0.987491,0.002078675,0.004425597,0.0008960407,0.004662571,0.0004460858],"domain_scores_gemma":[0.9681691,0.01001266,0.008601975,0.001098613,0.01133343,0.0007842397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005021328,0.0001454559,0.6950377,0.02278718,0.001964426,0.0003823676,0.003298144,0.0004022104,0.0006947648,0.0009012863,0.005361964,0.2685224],"study_design_scores_gemma":[0.0001356111,0.000334358,0.9748692,0.005060683,0.003007958,0.0004067463,0.001942841,0.001554502,0.0006538775,0.0003953649,0.01155136,0.00008753499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8332871,0.1146951,0.003956854,0.003356659,0.0002187389,0.00505019,0.03214964,0.0002679997,0.007017663],"genre_scores_gemma":[0.9431907,0.03267405,0.005677758,0.0007301912,0.0001219961,0.003245413,0.01360438,0.00004039902,0.0007151085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02767039,"threshold_uncertainty_score":0.07133919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07889854378235327,"score_gpt":0.5057591482373243,"score_spread":0.426860604454971,"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."}}