{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001904298,0.0002505412,0.0007772849,0.0005606524,0.0002228838,0.00004848158,0.0001287687,0.0001211007,0.000345185],"category_scores_gemma":[0.000006020837,0.0002453715,0.0001057164,0.0008481995,0.00008659367,0.0001828582,0.00009583534,0.0004499748,0.00008416578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617756,"about_ca_system_score_gemma":0.000287936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008001885,"about_ca_topic_score_gemma":0.00343558,"domain_scores_codex":[0.9962025,0.0006176506,0.001184637,0.0007541118,0.0002964901,0.0009445805],"domain_scores_gemma":[0.9981605,0.00009901587,0.0004563021,0.0004491718,0.00002010931,0.0008148511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002263372,0.001117104,0.8497155,0.001725827,0.0001036589,0.000002543424,0.003116824,9.857683e-7,0.000001344928,0.04250395,0.0009914121,0.1004945],"study_design_scores_gemma":[0.0016934,0.001021793,0.9932601,0.00009306183,0.0000241717,0.00001002417,0.001155872,0.00008780255,4.999882e-7,0.0005957292,0.001878966,0.0001785801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745239,0.002047419,0.0000767725,0.01343061,0.0007252995,0.001493091,0.0002189838,0.00006981182,0.007414093],"genre_scores_gemma":[0.9948241,0.0002799911,0.0003849125,0.002819653,0.00004418716,0.0001482392,0.0001573694,0.00002411437,0.001317397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1435445,"threshold_uncertainty_score":0.9999999,"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."}}