{"id":"W2803194235","doi":"10.2196/resprot.9589","title":"Workshop on Emerging Technology and Data Analytics for Behavioral Health","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institutes of Health","keywords":"Digital health; Center of excellence; mHealth; Wearable technology; Analytics; Mental health; Wearable computer; Internet privacy; Health care; Mobile technology; Psychological intervention; Psychology; Computer science; Data science; Mobile device; Medicine; Nursing; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03429758,0.002095332,0.001287712,0.001973594,0.001932558,0.009256973,0.003859913,0.004823281,0.02146231],"category_scores_gemma":[0.02717541,0.0007104012,0.0024458,0.001323235,0.002719491,0.007663807,0.01005494,0.01130683,0.007965465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003536799,"about_ca_system_score_gemma":0.009573911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002788307,"about_ca_topic_score_gemma":0.003293053,"domain_scores_codex":[0.9885903,0.005858488,0.0005759154,0.00151602,0.002254222,0.001205006],"domain_scores_gemma":[0.9658312,0.01485763,0.0005982703,0.00154628,0.008311112,0.008855596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006865474,0.0007284677,0.001576452,0.0009209638,0.0001743737,0.0007912052,0.008460517,0.002361658,0.004615613,0.04261824,0.7838275,0.1532385],"study_design_scores_gemma":[0.00005532768,0.0001959594,0.0009862483,0.0007842746,0.00003802318,0.0001848667,0.003109957,0.002437927,0.001441223,0.01579017,0.9749033,0.0000727587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"protocol","genre_scores_codex":[0.0184253,0.03220588,0.2233676,0.5060086,0.1356455,0.002835964,0.004728996,0.001869038,0.0749132],"genre_scores_gemma":[0.2204504,0.05898988,0.1561713,0.1106937,0.0958887,0.00644765,0.009411113,0.003061465,0.3388858],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.03429758,"threshold_uncertainty_score":0.181385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6331894036518481,"score_gpt":0.7151068436197715,"score_spread":0.08191743996792344,"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."}}