{"id":"W3135127507","doi":"10.1097/qad.0000000000002865","title":"Kidney injury biomarkers during exposure to tenofovir-based preexposure prophylaxis","year":2021,"lang":"en","type":"article","venue":"AIDS","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases","keywords":"Emtricitabine; Medicine; Pre-exposure prophylaxis; Renal function; Tenofovir; Placebo; Randomized controlled trial; Incidence (geometry); Internal medicine; Proteinuria; Kidney disease; Kidney; Urology; Human immunodeficiency virus (HIV); Antiretroviral therapy; Immunology; Pathology; Viral load; Men who have sex with men","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002152388,0.0001553373,0.0002433238,0.0002699875,0.0001278755,0.00004902502,0.000134776,0.0001076042,0.002278003],"category_scores_gemma":[0.00145888,0.0001359215,0.000250767,0.0007984426,0.00006002266,0.00009369823,0.0001016264,0.0002608002,0.0004077235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009594017,"about_ca_system_score_gemma":0.0004682618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004916803,"about_ca_topic_score_gemma":0.000007626357,"domain_scores_codex":[0.9983447,0.0001181084,0.0002862453,0.0003753727,0.0004460888,0.0004295226],"domain_scores_gemma":[0.998327,0.00002798053,0.00003113107,0.0005772806,0.0002910881,0.0007455893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006066166,0.0006137616,0.1374579,0.0006492944,0.0003353519,0.000462845,0.0001791071,0.000002263322,0.7095999,0.00005490319,0.1014264,0.04861162],"study_design_scores_gemma":[0.004045316,0.05212472,0.07841679,0.001418428,0.0001240665,0.00009963406,0.0004521044,0.00009608192,0.8029978,0.00004386315,0.05969167,0.0004895414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871359,0.0002386532,0.0005647932,0.001945722,0.00009485306,0.0004691418,0.0001398413,0.0001111911,0.009299914],"genre_scores_gemma":[0.9596197,0.00001037291,0.003465503,0.0005818313,0.0001553445,0.00009612054,0.000110439,0.0000337622,0.03592693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0933979,"threshold_uncertainty_score":0.998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127741664615726,"score_gpt":0.2971448575254248,"score_spread":0.2843706910638522,"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."}}