{"id":"W2808759103","doi":"10.2196/mhealth.8292","title":"Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; South London and Maudsley NHS Foundation Trust; NIHR Maudsley Biomedical Research Centre; King's College London; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Wearable computer; Wearable technology; Computer science; Mobile technology; Human–computer interaction; Mobile device; mHealth; Multimedia; Internet privacy; World Wide Web; Embedded system; Psychology; Psychological intervention; Psychiatry","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":[0.0008891079,0.0001928564,0.0003574185,0.0002584706,0.0003161666,0.00003495099,0.0001000886,0.000144065,0.00003234281],"category_scores_gemma":[0.00003827646,0.0001941539,0.00002059875,0.0003116297,0.0003213986,0.000352075,0.0001932154,0.0002727356,0.000002202943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529053,"about_ca_system_score_gemma":0.0002671683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003370665,"about_ca_topic_score_gemma":0.002072192,"domain_scores_codex":[0.9978671,0.00009198672,0.000746299,0.000555152,0.0001509547,0.0005884732],"domain_scores_gemma":[0.9990168,0.00008122846,0.0003393798,0.000290435,0.00006483576,0.0002073134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005011108,0.0002218844,0.3649582,0.00193089,0.00001037254,0.000001488635,0.004287289,1.130857e-7,0.00007064122,0.0001773461,0.000007292531,0.6278334],"study_design_scores_gemma":[0.001535401,0.0007123378,0.9873997,0.0002549331,0.000008564296,0.00002292007,0.006114476,0.00004825479,0.001954054,0.001666458,0.0001268552,0.0001560216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960955,0.001623384,0.00004820573,0.00013911,0.0002497763,0.001522342,0.00003663086,0.00008655007,0.0001985438],"genre_scores_gemma":[0.9925738,0.0001008456,0.007130232,0.00001536277,0.00004108551,0.0001021049,0.000003132506,0.00001831585,0.00001514854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6276774,"threshold_uncertainty_score":0.7917365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479565829452244,"score_gpt":0.4806179926297767,"score_spread":0.3326614096845523,"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."}}