{"id":"W4405564967","doi":"10.1016/j.socscimed.2024.117643","title":"Longitudinal associations between intersectional stigmas, antiretroviral therapy adherence, and viral load among women living with HIV using multidimensional latent transition item response analysis","year":2024,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Center for Advancing Translational Sciences; National Institute of Mental Health; National Heart, Lung, and Blood Institute","keywords":"Antiretroviral therapy; Human immunodeficiency virus (HIV); Viral load; Latent class model; Lentivirus; Medicine; Latent growth modeling; Gerontology; Psychology; Demography; Virology; Viral disease; Sociology; Developmental psychology; Statistics; Mathematics","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":[0.003429309,0.0003428237,0.0003824417,0.001038969,0.00130127,0.001331324,0.0005791762,0.0007222835,0.001773344],"category_scores_gemma":[0.00734856,0.0004819421,0.0008841913,0.001405352,0.0004939898,0.001117044,0.001636914,0.001753742,0.0002403711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006153502,"about_ca_system_score_gemma":0.0007368157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007149907,"about_ca_topic_score_gemma":0.01241681,"domain_scores_codex":[0.9983419,0.0009983322,0.0001385679,0.0001734763,0.0001494076,0.0001984254],"domain_scores_gemma":[0.9960808,0.001345175,0.00139264,0.0004592054,0.0003334672,0.000388823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001403869,0.0001881231,0.9974731,0.000005972629,0.00007661556,0.000008646542,0.0003969431,0.00008342038,0.00008755289,0.00004020918,0.00005119261,0.00144791],"study_design_scores_gemma":[0.00001399148,0.0003022677,0.9957236,0.00001369358,0.000062274,0.00004401434,0.001826136,0.00161355,0.0001168614,0.0001243927,0.0001442198,0.00001489347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994795,0.00002904288,0.0001419317,0.00002779427,0.000002171096,0.00001211448,0.0001769778,0.000003934569,0.0001265765],"genre_scores_gemma":[0.9990908,0.00002144907,0.0002852443,0.00001194256,0.000002802037,0.00004723643,0.0003700773,0.000002020277,0.0001684226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007149907,"threshold_uncertainty_score":0.01813614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737778822296953,"score_gpt":0.3528319761555939,"score_spread":0.3154541879326243,"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."}}