{"id":"W2883585614","doi":"10.2196/10748","title":"Veterans’ Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Rurality; Mental health; Veterans Affairs; Tracking (education); mHealth; Telehealth; Gerontology; Psychology; Health care; Medicine; Telemedicine; Rural area; Nursing; Psychiatry; Psychological intervention","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":[0.004867946,0.0003025722,0.0004007461,0.0009732851,0.004858731,0.001992817,0.0007666806,0.000678007,0.002067061],"category_scores_gemma":[0.007691486,0.0005050756,0.000306925,0.001078702,0.003040076,0.002103785,0.002924969,0.00136768,0.000146618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002777629,"about_ca_system_score_gemma":0.003625995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296811,"about_ca_topic_score_gemma":0.03353894,"domain_scores_codex":[0.9977017,0.001455298,0.00008893133,0.0001405426,0.0001444204,0.0004691573],"domain_scores_gemma":[0.994678,0.003520062,0.0005634188,0.0001096248,0.0004634336,0.0006654495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001880726,0.00003828224,0.01393145,0.00005836381,0.000004377148,0.0002943146,0.9824932,0.00001558862,0.0004724197,0.0003076976,0.0001599703,0.002205516],"study_design_scores_gemma":[0.000001015194,0.00002980847,0.004957266,0.00003527832,0.00000174539,0.00006938414,0.9937683,0.00002830046,0.00006584205,0.0000466894,0.0009925384,0.000003791131],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984202,0.0001415791,0.0001954349,0.0003870649,0.000008059227,0.00003659975,0.00005242096,0.000002517838,0.0007561073],"genre_scores_gemma":[0.9988258,0.0002450627,0.0001801619,0.0001851392,0.000004984564,0.00006878079,0.00002933483,0.000003689297,0.0004569594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02296811,"threshold_uncertainty_score":0.04566884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052171453411037,"score_gpt":0.5330725875625162,"score_spread":0.3278554422214125,"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."}}