{"id":"W2507694190","doi":"10.2196/mhealth.6020","title":"Quantifying App Store Dynamics: Longitudinal Tracking of Mental Health Apps","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"App store; Android (operating system); Mental health; mHealth; Download; Mobile apps; World Wide Web; Internet privacy; Medicine; Psychology; Psychological intervention; Computer science; 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":[0.007554595,0.0004619016,0.0006231932,0.00534533,0.0008035467,0.002443137,0.0009664604,0.000853049,0.002500964],"category_scores_gemma":[0.04809695,0.0005845123,0.001048105,0.004661254,0.0003471293,0.003610012,0.001882149,0.001037844,0.001292515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008789863,"about_ca_system_score_gemma":0.001317952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013326,"about_ca_topic_score_gemma":0.01554077,"domain_scores_codex":[0.9959434,0.001032618,0.0009416653,0.0008281788,0.0009365541,0.0003177089],"domain_scores_gemma":[0.9562725,0.01308401,0.01535931,0.003989994,0.0102047,0.001089369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003693528,0.0001909141,0.9696157,0.000346728,0.000310709,0.00006801159,0.001398977,0.0003135571,0.0003562191,0.0002146118,0.00192922,0.02488596],"study_design_scores_gemma":[0.00002865899,0.0003202828,0.9880137,0.0002313324,0.0002424946,0.0002726214,0.001644877,0.003203337,0.0006236832,0.0003977622,0.004973175,0.00004799111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675407,0.001965255,0.003803112,0.0004795014,0.00003759888,0.0006214755,0.02166324,0.0001646958,0.003724396],"genre_scores_gemma":[0.9788343,0.0007371444,0.004643052,0.0001637089,0.0000442053,0.0008902948,0.01321223,0.000054641,0.001420436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013326,"threshold_uncertainty_score":0.03995299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355121834580222,"score_gpt":0.4678542506626651,"score_spread":0.332342067204643,"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."}}