{"id":"W3108935284","doi":"10.1097/qad.0000000000002703","title":"Changes in HIV preexposure prophylaxis prescribing in Australian clinical services following COVID-19 restrictions","year":2020,"lang":"en","type":"letter","venue":"AIDS","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Casual; Family medicine; Government (linguistics); Public health; Reproductive health; Pre-exposure prophylaxis; Human immunodeficiency virus (HIV); Pandemic; Health care; Men who have sex with men; Coronavirus disease 2019 (COVID-19); Environmental health; Nursing; Population; Political science","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":[0.003480155,0.0001914014,0.0005546253,0.001973606,0.001076304,0.001629988,0.001069376,0.0007484305,0.001353112],"category_scores_gemma":[0.02058872,0.0004614154,0.0004920189,0.005704801,0.000584899,0.001019948,0.002139859,0.001259622,0.0002817567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005105258,"about_ca_system_score_gemma":0.004267746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2412649,"about_ca_topic_score_gemma":0.3172652,"domain_scores_codex":[0.9933668,0.002281975,0.001145119,0.0007432785,0.001489884,0.0009729606],"domain_scores_gemma":[0.9875854,0.001916117,0.00632832,0.0003950439,0.002238928,0.001536172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008890892,0.0001062398,0.9824396,0.0002031368,0.00006894161,0.0001781207,0.004921045,0.0001632892,0.0002638737,0.00007977995,0.0009348287,0.01055217],"study_design_scores_gemma":[0.000001255197,0.00003632597,0.9985725,0.00003586135,0.000004191395,0.00004218764,0.0007919701,0.0001179007,0.00001984863,0.00001110443,0.0003634302,0.000003544289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956566,0.0005628807,0.0001352731,0.0007897035,0.00001800812,0.0001066882,0.001256169,0.000008164782,0.001466583],"genre_scores_gemma":[0.9965605,0.0005842239,0.0004539041,0.0006116117,0.00002105384,0.0001182513,0.001091395,0.000005537431,0.0005534764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2412649,"threshold_uncertainty_score":0.4797212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09766201846614099,"score_gpt":0.3973467102863707,"score_spread":0.2996846918202297,"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."}}