{"id":"W3039529940","doi":"10.2196/17159","title":"Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Depression (economics); Anxiety; Protocol (science); mHealth; Baseline (sea); Multiple baseline design; Psychology; Mobile apps; Mobile device; Digital health; Psychiatry; Medicine; Psychological intervention; Applied psychology; Computer science; Clinical psychology; Internet privacy; Alternative medicine; Health care; World Wide Web; Intervention (counseling)","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":[0.05168759,0.004589546,0.007023658,0.00323957,0.004435165,0.002942495,0.004478541,0.007951046,0.05631354],"category_scores_gemma":[0.04553185,0.003144339,0.00731853,0.002454256,0.003764035,0.003132911,0.003229959,0.008924264,0.01106373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006251109,"about_ca_system_score_gemma":0.0184733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327649,"about_ca_topic_score_gemma":0.003932619,"domain_scores_codex":[0.9710736,0.01660388,0.004369531,0.002062749,0.003607833,0.00228245],"domain_scores_gemma":[0.9714218,0.009553657,0.005395233,0.003211674,0.008253639,0.002164005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.5282896,0.1326847,0.002615821,0.06604156,0.002583844,0.0009862345,0.004121403,0.007090417,0.009652688,0.01198107,0.04039027,0.1935625],"study_design_scores_gemma":[0.5810658,0.2327486,0.01412051,0.01362021,0.002234546,0.0002238881,0.001425048,0.004629065,0.005269359,0.008955458,0.1350616,0.0006458731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0009059455,0.00005157309,0.00054715,0.00005176453,0.00006353637,0.9979522,0.0001753053,0.00002082893,0.0002317108],"genre_scores_gemma":[0.000425816,0.00004606248,0.001531738,0.00003646463,0.000009781218,0.9977919,0.00003134138,0.000001483229,0.0001254791],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05631354,"threshold_uncertainty_score":0.2733533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3561757364376764,"score_gpt":0.628143349198356,"score_spread":0.2719676127606797,"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."}}