{"id":"W3000731549","doi":"10.1097/qai.0000000000002289","title":"PrEP Implementation Behaviors of Community-Based HIV Testing Staff: A Mixed-Methods Approach Using Latent Class Analysis","year":2020,"lang":"en","type":"article","venue":"JAIDS Journal of Acquired Immune Deficiency Syndromes","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute of Mental Health","keywords":"Latent class model; Sexual orientation; Pre-exposure prophylaxis; Human immunodeficiency virus (HIV); Medicine; Class (philosophy); Odds; Family medicine; Test (biology); Odds ratio; Psychology; Men who have sex with men; Social psychology; Computer science; Logistic regression; Internal medicine","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":[0.03338529,0.001139443,0.001806884,0.00545966,0.003476459,0.003256354,0.00297772,0.001466425,0.00342748],"category_scores_gemma":[0.03490289,0.001217617,0.00337862,0.003457354,0.001141192,0.001995091,0.002897784,0.001467813,0.00032017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003822893,"about_ca_system_score_gemma":0.004536973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256168,"about_ca_topic_score_gemma":0.01431458,"domain_scores_codex":[0.9764029,0.01809852,0.001161038,0.001935252,0.001487807,0.0009145277],"domain_scores_gemma":[0.9754532,0.01743757,0.002836297,0.001924185,0.001887746,0.0004610261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.003869639,0.01136415,0.6353284,0.002494422,0.002874166,0.0005730433,0.1162227,0.00699746,0.002400212,0.007058883,0.002785619,0.2080313],"study_design_scores_gemma":[0.00191654,0.01908786,0.484171,0.002623239,0.003822707,0.0005973979,0.214224,0.2381395,0.005910958,0.02059627,0.008309028,0.0006015017],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916616,0.0005031106,0.06869671,0.0003381656,0.00004278853,0.01127466,0.001119427,0.0001044337,0.001304807],"genre_scores_gemma":[0.8764526,0.0003704738,0.09703767,0.0002347845,0.00003043474,0.02380885,0.001144392,0.0000373192,0.0008833708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03338529,"threshold_uncertainty_score":0.1765604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076820366205195,"score_gpt":0.4174168789284853,"score_spread":0.3097348423079658,"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."}}