{"id":"W3097851071","doi":"10.2196/23776","title":"Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities","year":2020,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Mental Health","keywords":"Mental health; Telehealth; Digital health; Context (archaeology); Telepsychiatry; Social distance; Accountability; Pandemic; Telemedicine; Videoconferencing; Public relations; Psychology; Internet privacy; Health care; Coronavirus disease 2019 (COVID-19); Political science; Medicine; Psychiatry; Computer science; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000509271,0.0002826101,0.0005326483,0.0001520962,0.0006185941,0.00006885104,0.0002262839,0.0001239124,0.0004489762],"category_scores_gemma":[0.00003639542,0.0003049911,0.0001433354,0.0001988291,0.000263365,0.0003892131,0.0002508125,0.0004944027,0.00008269856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006484448,"about_ca_system_score_gemma":0.0006268842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008262703,"about_ca_topic_score_gemma":0.0000951452,"domain_scores_codex":[0.9968255,0.0003162443,0.001122023,0.000552027,0.0004660012,0.0007182396],"domain_scores_gemma":[0.9970456,0.00009111059,0.0005404251,0.0002748242,0.00002953457,0.002018489],"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":[0.002909237,0.004495007,0.009249982,0.01837863,0.0003816419,0.00008636232,0.3041296,0.000001873986,0.0000431263,0.07214251,0.5225461,0.06563585],"study_design_scores_gemma":[0.01808604,0.02559119,0.02817062,0.001738772,0.0000330088,0.001166325,0.316808,0.00006841321,0.0004463665,0.005078308,0.6006742,0.002138751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3543339,0.00298403,0.00006965455,0.6308948,0.001017379,0.002099906,0.005047827,0.0002650662,0.00328738],"genre_scores_gemma":[0.9468743,0.0002621741,0.0001031686,0.05113065,0.00008396837,0.00009939555,0.0003972753,0.0000512212,0.0009978784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5925403,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780407519945736,"score_gpt":0.4753760621094604,"score_spread":0.2973353101148868,"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."}}