{"id":"W3215623818","doi":"10.2196/34054","title":"Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile apps; mHealth; Mental health; App store; Quality (philosophy); Internet privacy; Psychology; Computer science; Multimedia; World Wide Web; Psychological intervention; Psychiatry","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":[0.07724398,0.0009772596,0.004093815,0.01554023,0.002043358,0.002470973,0.001480236,0.0008428054,0.001479895],"category_scores_gemma":[0.1377181,0.0008111054,0.006974685,0.01179034,0.001855023,0.002369697,0.003502094,0.0007992325,0.0001645977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006733495,"about_ca_system_score_gemma":0.01860706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006884472,"about_ca_topic_score_gemma":0.01181231,"domain_scores_codex":[0.9533945,0.01436551,0.01697661,0.002053516,0.01216802,0.001041906],"domain_scores_gemma":[0.8525147,0.07833317,0.02326922,0.004530703,0.03949809,0.001854213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004036443,0.001708812,0.3024129,0.1662023,0.007230319,0.0006089941,0.03119659,0.000783838,0.002734593,0.001310896,0.004833331,0.4769411],"study_design_scores_gemma":[0.003438196,0.006452581,0.8314646,0.06585329,0.03527518,0.000680053,0.02021737,0.005713125,0.005077382,0.001528065,0.02364667,0.0006535422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251552,0.05124304,0.01044284,0.001993477,0.0002867466,0.09876941,0.006776041,0.00026765,0.005065518],"genre_scores_gemma":[0.8504277,0.02063524,0.03383436,0.000768038,0.0001792671,0.0901398,0.003336434,0.0000689282,0.0006102808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07724398,"threshold_uncertainty_score":0.4085101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917972233164965,"score_gpt":0.5358122291290346,"score_spread":0.3440150058125381,"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."}}