{"id":"W3165173117","doi":"10.2196/27343","title":"Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Mental health; Digital health; mHealth; Delphi method; Health care; Data science; Computer science; Internet privacy; Psychology; Psychological intervention; Artificial intelligence; Psychiatry; Political science","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":[0.0009927909,0.000221468,0.0005155705,0.0001318785,0.0005890566,0.00009146902,0.0001646692,0.0001575748,0.00005433222],"category_scores_gemma":[0.00006453846,0.0002321564,0.00009060985,0.0003270711,0.0000869805,0.0002108706,0.0001126634,0.0003867792,0.000040556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120408,"about_ca_system_score_gemma":0.00123294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477527,"about_ca_topic_score_gemma":0.0001612795,"domain_scores_codex":[0.9966568,0.0001803154,0.001483256,0.0006291018,0.0002984259,0.0007520533],"domain_scores_gemma":[0.9980301,0.0003159134,0.0004803906,0.0003810133,0.0001577845,0.0006347536],"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":[0.0003689298,0.004439238,0.001863227,0.002814206,0.00008145743,0.000001977234,0.01216679,2.545855e-7,0.000002918317,0.03427907,0.002504082,0.9414778],"study_design_scores_gemma":[0.02253907,0.01261692,0.2252813,0.001711712,0.0001634796,0.000300828,0.1307814,0.000134417,0.0001952312,0.0156634,0.5885968,0.002015436],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094496,0.00852816,0.02252045,0.03266142,0.001974954,0.01825364,0.001693866,0.0003197556,0.004598204],"genre_scores_gemma":[0.9892759,0.0000281029,0.004192227,0.002343468,0.0001155332,0.003183848,0.0004266609,0.00003957842,0.0003947369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9394624,"threshold_uncertainty_score":0.9467064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645718796846155,"score_gpt":0.5006166192459215,"score_spread":0.336044739561306,"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."}}