{"id":"W2802952037","doi":"10.2196/mhealth.8866","title":"Managing and Controlling Stress Using mHealth: Systematic Search in App Stores","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Financiadora de Estudos e Projetos; European Commission; Instituto Nacional de Telecomunicações","keywords":"mHealth; Android (operating system); Computer science; World Wide Web; Population; Mobile device; App store; Mobile apps; Multimedia; Internet privacy; Medicine; Operating system; Nursing; Psychological intervention","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":[0.009326414,0.001017455,0.004478265,0.02130537,0.0007082624,0.002081152,0.001253484,0.001246092,0.002693352],"category_scores_gemma":[0.03974633,0.0007604416,0.003318907,0.01527889,0.0008843421,0.002764668,0.002181212,0.0007688521,0.0002987145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200942,"about_ca_system_score_gemma":0.01307501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008244406,"about_ca_topic_score_gemma":0.02679225,"domain_scores_codex":[0.9922094,0.002342169,0.003573621,0.0004440137,0.001249066,0.0001816822],"domain_scores_gemma":[0.9521488,0.03560575,0.006865209,0.0008491605,0.004070138,0.0004609133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0002051725,0.00005185382,0.003672823,0.8890815,0.003293704,0.0002542825,0.001855644,0.0001017732,0.0003633453,0.0003326659,0.001538439,0.09924884],"study_design_scores_gemma":[0.0001280592,0.0003093723,0.009463429,0.956135,0.01616867,0.0004577872,0.00194746,0.0001518868,0.0002309989,0.0004258833,0.01453525,0.00004620463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01580141,0.9753313,0.001162776,0.001005988,0.0001750295,0.002843839,0.00250421,0.00003850289,0.001137055],"genre_scores_gemma":[0.07027753,0.9191275,0.004583436,0.001002303,0.000106097,0.003246614,0.001315411,0.0000163492,0.0003247727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02130537,"threshold_uncertainty_score":0.04932338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212340622800318,"score_gpt":0.4740603715198966,"score_spread":0.3528263092398648,"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."}}