{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006015366,0.0001030757,0.0001940603,0.0007247596,0.001487678,0.000124569,0.0002363828,0.00002974471,0.000506888],"category_scores_gemma":[0.0004476212,0.0001036169,0.0001018968,0.0006327174,0.0002052995,0.001005768,0.0005316937,0.0006291624,0.0000102906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857819,"about_ca_system_score_gemma":0.0002800667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270152,"about_ca_topic_score_gemma":0.0006161997,"domain_scores_codex":[0.994792,0.00339024,0.0005417709,0.0001687869,0.0006489425,0.0004583044],"domain_scores_gemma":[0.9982501,0.0008838023,0.0002117641,0.0002757534,0.0001448014,0.000233802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.004219898,0.01174413,0.1830253,0.001057249,0.000355023,0.000003759605,0.5553825,0.0007389456,0.00003090164,0.03133375,0.134638,0.0774705],"study_design_scores_gemma":[0.008176307,0.01311407,0.7386175,0.000163796,0.000008643478,0.00002309004,0.2046894,0.003461705,0.000005466651,0.0198257,0.01165505,0.0002593583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900851,0.0001169616,0.0000636082,0.001294745,0.0001313478,0.003080596,0.003725457,0.00001946278,0.00148274],"genre_scores_gemma":[0.9969447,0.000002516104,0.00003026571,0.00006842534,0.00000822565,0.0016998,0.0009835196,0.0000140307,0.0002485359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5555921,"threshold_uncertainty_score":0.9998122,"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."}}