{"id":"W2995766927","doi":"10.1016/j.jad.2019.11.156","title":"Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review","year":2019,"lang":"en","type":"review","venue":"Journal of Affective Disorders","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Centre for Addiction and Mental Health","funders":"Cundill Centre for Child and Youth Depression","keywords":"Wearable computer; Actigraphy; Mental health; Mood; Wearable technology; Variety (cybernetics); Depression (economics); Psychology; Mobile technology; MEDLINE; Medicine; Data science; Applied psychology; Mobile device; Psychiatry; Computer science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003118158,0.001158634,0.005621377,0.005033548,0.0004071436,0.002736453,0.001865721,0.00263793,0.00423987],"category_scores_gemma":[0.008546201,0.0007425903,0.005074603,0.004056443,0.0007575571,0.001729166,0.001204367,0.001756357,0.0004582236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108997,"about_ca_system_score_gemma":0.003538421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672431,"about_ca_topic_score_gemma":0.01445824,"domain_scores_codex":[0.9985208,0.0003038639,0.0004939489,0.0002431303,0.0003617325,0.00007647166],"domain_scores_gemma":[0.9944839,0.004415748,0.0006368141,0.00006305981,0.0003349827,0.00006535307],"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":[0.0003024175,0.000150691,0.0009968225,0.5419256,0.004097345,0.0001223508,0.0002238769,0.0001863418,0.0003877943,0.0005077629,0.003552887,0.4475462],"study_design_scores_gemma":[0.0003281549,0.0006703367,0.009976416,0.8530084,0.04233366,0.001058553,0.0007244464,0.0002768994,0.0004393375,0.000829728,0.09025592,0.00009801506],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001327372,0.9996595,0.00002714454,0.00003492332,0.00003498375,0.00001762896,0.00001849731,0.000001465013,0.00007317473],"genre_scores_gemma":[0.001593735,0.997965,0.0001699867,0.0001286477,0.00004061295,0.00003002733,0.00002101493,0.000001083456,0.00005000183],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005672431,"threshold_uncertainty_score":0.01649058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106776635564641,"score_gpt":0.4165178921459201,"score_spread":0.3954501257902737,"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."}}