{"id":"W3188217236","doi":"10.1521/aeap.2021.33.4.265","title":"Living With HIV During the COVID-19 Pandemic: Impacts for Older Adults in Palm Springs, California","year":2021,"lang":"en","type":"article","venue":"AIDS Education and Prevention","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Pandemic; Medicine; Respondent; Logistic regression; Demography; Gerontology; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Health care; Public health; Environmental health; Disease; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005262375,0.0001897692,0.0001421819,0.0006503422,0.001108181,0.0007197614,0.0003434393,0.0003440447,0.001577641],"category_scores_gemma":[0.001028853,0.0002505023,0.0002229134,0.0007308996,0.0002296696,0.0006489689,0.0008356056,0.0006387636,0.0001648174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009223849,"about_ca_system_score_gemma":0.0008866823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1924179,"about_ca_topic_score_gemma":0.3948335,"domain_scores_codex":[0.9997494,0.00006006398,0.00002943878,0.00004009462,0.00004422349,0.00007680175],"domain_scores_gemma":[0.9992022,0.00008037739,0.0002804534,0.00002383656,0.0001254332,0.0002877335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002880208,0.0001014482,0.9943409,0.00002512826,0.00001711121,0.00008181876,0.001175938,0.00003833846,0.00006482688,0.00001449588,0.0007887878,0.00332237],"study_design_scores_gemma":[0.000002798013,0.00004478349,0.9957101,0.00002166999,0.000008957236,0.00004856777,0.003647422,0.00003717305,0.00001463516,0.00000814027,0.0004529577,0.000002716511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975513,0.0001456981,0.00001841555,0.0002320809,0.000006483699,0.00001813885,0.0008151373,0.000002552421,0.00121008],"genre_scores_gemma":[0.9981207,0.0003955655,0.00008553432,0.0001992947,0.00001658758,0.00002535411,0.0006093378,0.000001046706,0.0005466037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924179,"threshold_uncertainty_score":0.3825957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708303276475706,"score_gpt":0.4023043760814028,"score_spread":0.3652213433166458,"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."}}