{"id":"W2955308548","doi":"10.2196/mental.9819","title":"Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review","year":2018,"lang":"en","type":"review","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat de Catalunya; European Commission; Horizon 2020 Framework Programme; Centres de Recerca de Catalunya","keywords":"mHealth; Wearable computer; Mobile phone; Wearable technology; Psychiatry; Medicine; Psychology; Computer science; Psychological intervention; Telecommunications","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":[0.00159566,0.0008084248,0.003640918,0.0003830474,0.0005607537,0.0000745449,0.0003227035,0.0003185626,0.00006849781],"category_scores_gemma":[0.00002269422,0.000674065,0.0005919833,0.0005486378,0.0002438022,0.0001249206,0.0001015146,0.0004041648,0.0002607125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483087,"about_ca_system_score_gemma":0.0004202352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001316249,"about_ca_topic_score_gemma":0.00004997331,"domain_scores_codex":[0.993901,0.000986372,0.002499151,0.00122092,0.0003242172,0.001068342],"domain_scores_gemma":[0.9963747,0.0002944937,0.001763912,0.0008503874,0.00003326176,0.0006832455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00002127262,0.0005759083,0.000002302109,0.7165171,0.000110676,3.500998e-7,0.0001377628,7.16929e-9,3.066467e-10,0.0002615143,0.007955022,0.2744181],"study_design_scores_gemma":[0.001073211,0.00446596,0.000003860096,0.6199118,0.0006675875,0.0001392438,0.0003447647,0.00001391157,1.034843e-8,0.0001287935,0.3727068,0.0005439516],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001740208,0.9636651,0.00004159627,0.0005532067,0.001298575,0.03237454,0.001259744,0.0001319323,0.0006579451],"genre_scores_gemma":[0.00005370347,0.9735807,0.0005422799,0.001350705,0.0001378766,0.02109816,0.000610737,0.0001748947,0.002451009],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3647518,"threshold_uncertainty_score":0.9995711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0696969667814692,"score_gpt":0.4330057675997248,"score_spread":0.3633088008182556,"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."}}