{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004860235,0.0002928411,0.0005798907,0.0001289127,0.0006081867,0.0002595551,0.0004283816,0.0001637925,0.0000521654],"category_scores_gemma":[0.0009562485,0.0002699031,0.0001948418,0.0004196703,0.0002934375,0.0005891405,0.0004478162,0.0003414005,0.00001400146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720799,"about_ca_system_score_gemma":0.0003131893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000607047,"about_ca_topic_score_gemma":0.000001511061,"domain_scores_codex":[0.9951327,0.001184982,0.0009492149,0.0009814475,0.0006000131,0.001151585],"domain_scores_gemma":[0.9963776,0.001835382,0.0003812165,0.0004401895,0.0004167072,0.0005488939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.104653,0.0202008,0.0931145,0.1020508,0.0005856497,0.00002156456,0.01305824,0.0003734139,0.02701841,0.0005967394,0.03608912,0.6022378],"study_design_scores_gemma":[0.1262712,0.07980245,0.012952,0.08761244,0.0000188456,0.0002503473,0.007231704,0.02207095,0.3617788,0.0043438,0.2951959,0.002471467],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008229676,0.00001136864,0.01219755,0.0001350532,0.00002261423,0.9772704,0.001967333,0.00008010949,0.00008592394],"genre_scores_gemma":[0.1038845,8.898262e-8,0.00434017,0.00003755808,0.0001085826,0.8914109,0.00006816091,0.00008288985,0.00006710873],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5997663,"threshold_uncertainty_score":0.9999753,"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."}}