{"id":"W4319059229","doi":"10.1097/olq.0000000000001726","title":"Impact of the Early COVID-19 Pandemic on the Number of HIV Preexposure Prophylaxis Uses and the Proportion of Preexposure Prophylaxis Users Receiving Sexually Transmitted Infection Testing Services","year":2022,"lang":"en","type":"article","venue":"Sexually Transmitted Diseases","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Medicine; Gonorrhea; Chlamydia; Pandemic; Emtricitabine; Quarter (Canadian coin); Pre-exposure prophylaxis; Cohort; Men who have sex with men; Human immunodeficiency virus (HIV); Coronavirus disease 2019 (COVID-19); Family medicine; Internal medicine; Viral load; Immunology; Syphilis; Antiretroviral therapy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081792,0.0003461661,0.0005864289,0.0002057236,0.000569459,0.00004323383,0.0004600103,0.0001146879,0.000362474],"category_scores_gemma":[0.001539888,0.0001764233,0.0005131697,0.001417026,0.0008497388,0.0002203687,0.00009547837,0.0007301733,0.000001264922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400723,"about_ca_system_score_gemma":0.0009680712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003221775,"about_ca_topic_score_gemma":0.0003111268,"domain_scores_codex":[0.9952924,0.001488185,0.0009559711,0.000464149,0.001394554,0.0004047805],"domain_scores_gemma":[0.9966946,0.001196209,0.0006042365,0.000724876,0.0005307268,0.0002493007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003361156,0.001208011,0.9647929,0.002276865,0.0007247257,0.000005053843,0.005226421,0.0004246123,0.009965347,0.0000920188,0.0001076103,0.01181525],"study_design_scores_gemma":[0.004013235,0.02239001,0.9687386,0.0005382251,0.0005438791,0.0000566638,0.001668459,0.0007763685,0.0006078996,0.0004135415,0.00003985395,0.0002132612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947851,0.0004302144,0.0002031631,0.0003277804,0.0000427016,0.003163668,0.0007847693,0.00008947864,0.0001730856],"genre_scores_gemma":[0.9988801,0.0000524331,0.00004039208,0.0000840006,0.00004790037,0.0003804147,0.00007279531,0.00005017862,0.0003917426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.021182,"threshold_uncertainty_score":0.7194333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608819717606943,"score_gpt":0.3147218371837546,"score_spread":0.2886336400076852,"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."}}