{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630952,0.0002511049,0.0006622332,0.0004843565,0.0004626492,0.00008445777,0.0001564789,0.0001439313,0.000040779],"category_scores_gemma":[0.00003730709,0.0002401259,0.00004415425,0.0003699791,0.0002402604,0.0002075674,0.00008817277,0.0004115823,0.00005267358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368532,"about_ca_system_score_gemma":0.0001814568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992606,"about_ca_topic_score_gemma":0.001281157,"domain_scores_codex":[0.996265,0.0005842853,0.001109221,0.0006033957,0.0002792343,0.001158897],"domain_scores_gemma":[0.9982649,0.0002564247,0.0003167413,0.00035774,0.00007865876,0.0007255228],"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":[0.002460047,0.003339845,0.2069615,0.5210319,0.0002089733,0.0002088534,0.04550946,0.00003662123,0.00002327563,0.1150136,0.0009495753,0.1042563],"study_design_scores_gemma":[0.02747283,0.01407126,0.7010653,0.08909801,0.0005422223,0.001250428,0.06951915,0.07525893,0.00007291418,0.01792996,0.0007360856,0.002982925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860712,0.006712761,0.0003573154,0.001812647,0.0009553023,0.002049659,0.00005216326,0.00009424922,0.001894714],"genre_scores_gemma":[0.9978705,0.0001147169,0.0003608596,0.0009337834,0.0002646983,0.0001599604,0.00000951427,0.00004285654,0.0002430845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941038,"threshold_uncertainty_score":0.979205,"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."}}