{"id":"W2913351506","doi":"10.2196/11694","title":"Older Adults’ Perspectives on Using Digital Technology to Maintain Good Mental Health: Interactive Group Study","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Shores Centre for Mental Health Sciences; University of Toronto","funders":"University of Sheffield","keywords":"Mental health; Digital health; Mood; Psychology; Population; Digital divide; Distraction; mHealth; Applied psychology; Psychological intervention; The Internet; Medical education; Medicine; Clinical psychology; Health care; Psychiatry; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003663761,0.0004662228,0.0005523388,0.001231961,0.003628409,0.00251336,0.0004501441,0.001523582,0.002261666],"category_scores_gemma":[0.007082948,0.0004048022,0.0005149951,0.0006452663,0.001176354,0.001999008,0.003737941,0.001521791,0.0003144679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008393,"about_ca_system_score_gemma":0.001338242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004070414,"about_ca_topic_score_gemma":0.008420611,"domain_scores_codex":[0.9985881,0.0006326024,0.0001124855,0.000125056,0.0001871852,0.0003545779],"domain_scores_gemma":[0.9962584,0.001268112,0.000564605,0.0001508591,0.000512818,0.00124526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002467924,0.00127815,0.16597,0.0001625749,0.00005456643,0.0006657928,0.8105896,0.00002553393,0.001463074,0.0002063096,0.0008370317,0.0185004],"study_design_scores_gemma":[0.00008057275,0.001490023,0.1430241,0.0001208281,0.00006385109,0.0004133565,0.8488101,0.0001093661,0.0003343175,0.0001363741,0.005383581,0.00003356121],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990663,0.00007466093,0.00004371149,0.000191349,0.000008156889,0.00003898217,0.0000211478,0.000001711385,0.0005541027],"genre_scores_gemma":[0.9987288,0.0001861513,0.000117089,0.0003340223,0.00001994948,0.0001104109,0.00003364387,0.000001816597,0.0004680679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004070414,"threshold_uncertainty_score":0.01937604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642979702986531,"score_gpt":0.5270053638369391,"score_spread":0.462707393538286,"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."}}