{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1612706,0.001068798,0.0006801994,0.004230707,0.0101754,0.004510882,0.002632295,0.004327432,0.003185548],"category_scores_gemma":[0.1339685,0.001268195,0.001090693,0.002207504,0.00718565,0.006008119,0.01533084,0.005726757,0.0005194554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009718654,"about_ca_system_score_gemma":0.02612379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003797703,"about_ca_topic_score_gemma":0.003515559,"domain_scores_codex":[0.8392469,0.1389562,0.005554144,0.002790831,0.005595186,0.007856782],"domain_scores_gemma":[0.8430023,0.1146503,0.005205539,0.003800466,0.02635542,0.006985925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003663527,0.0009446621,0.01465114,0.001486526,0.0000646008,0.002029377,0.8966986,0.001547534,0.002012648,0.0269774,0.007448575,0.04577257],"study_design_scores_gemma":[0.00009599832,0.0004362166,0.003826416,0.001128327,0.00002123021,0.0004247804,0.9586257,0.004201396,0.0009595494,0.008371346,0.02181747,0.00009143641],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924106,0.0007641589,0.05142802,0.01681548,0.0003342799,0.02526245,0.0002616212,0.00005149845,0.01267192],"genre_scores_gemma":[0.9248957,0.001085973,0.03896019,0.005995024,0.00007560023,0.02707049,0.0001432034,0.00002747992,0.001746333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612706,"threshold_uncertainty_score":0.8528908,"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."}}