{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783827,0.0001259057,0.0002030538,0.0007251915,0.0004202384,0.000104595,0.0008274688,0.0001424573,0.0002346329],"category_scores_gemma":[0.0001155039,0.0001196334,0.00003258635,0.0008627867,0.0005566747,0.0001683186,0.0006748558,0.0004932422,0.0003113669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403732,"about_ca_system_score_gemma":0.0001229243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003597022,"about_ca_topic_score_gemma":0.0001703158,"domain_scores_codex":[0.9974728,0.0001965012,0.0004119201,0.0006704459,0.0003267478,0.0009216453],"domain_scores_gemma":[0.9979088,0.0001732063,0.0001044554,0.001372299,0.0002052615,0.0002359484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008292605,0.002857459,0.001354331,0.0003949063,0.00002846694,0.0000107586,0.0004549253,4.906273e-8,0.00001819996,0.0724482,0.2284068,0.6931967],"study_design_scores_gemma":[0.001836355,0.01404987,0.001169931,0.002402355,0.000001702843,0.00001455202,0.001156294,0.0001145013,0.0001458916,0.01091756,0.9680122,0.0001787721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.005927765,0.00002925122,0.0007432389,0.02688791,0.0001191166,0.95688,0.0005405215,0.0002510563,0.008621181],"genre_scores_gemma":[0.04859145,2.959125e-7,0.001125304,0.0001909813,0.0002102819,0.9432337,0.00006009575,0.00004104942,0.006546899],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.7396054,"threshold_uncertainty_score":0.4878507,"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."}}