{"id":"W4308635655","doi":"10.2196/42031","title":"Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; University of California, Davis; University of Pennsylvania","keywords":"Mental health; Lesbian; Transgender; Anxiety; Ethnic group; Psychology; Pandemic; Public health; Health equity; Medicine; Gerontology; Coronavirus disease 2019 (COVID-19); Psychiatry; Nursing; 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":[0.01575556,0.001387111,0.001318619,0.00117139,0.003173283,0.002368155,0.001707474,0.001493296,0.007439853],"category_scores_gemma":[0.01524059,0.0007429945,0.002648264,0.001403971,0.001401765,0.002317304,0.004231368,0.002448951,0.0007584271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004833413,"about_ca_system_score_gemma":0.01417099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03230391,"about_ca_topic_score_gemma":0.05163145,"domain_scores_codex":[0.9913464,0.00491536,0.0005940322,0.0006500353,0.001068344,0.001425813],"domain_scores_gemma":[0.9865594,0.002311774,0.002066247,0.0007954151,0.002702482,0.005564696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07676405,0.2128027,0.3430488,0.005415392,0.00263459,0.0005151886,0.007539318,0.001743882,0.000829711,0.0007235722,0.01675772,0.3312251],"study_design_scores_gemma":[0.07131313,0.2245374,0.6545244,0.003629516,0.002576304,0.0002435078,0.01823303,0.002814514,0.001293469,0.0008373078,0.01972379,0.0002735974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346837,0.0007465003,0.0005173638,0.0008169631,0.0001270899,0.04867403,0.008098725,0.00008967213,0.006245803],"genre_scores_gemma":[0.9028056,0.001182993,0.00517035,0.0008129156,0.0001054687,0.08244578,0.005496194,0.0000226861,0.001958061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03230391,"threshold_uncertainty_score":0.08332431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.556155700230399,"score_gpt":0.6320465591683087,"score_spread":0.0758908589379097,"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."}}