{"id":"W3182824832","doi":"10.1097/qad.0000000000003021","title":"Inferring population HIV incidence trends from surveillance data of recent HIV infection among HIV testing clients","year":2021,"lang":"en","type":"article","venue":"AIDS","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Medical Research Council; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research","keywords":"Incidence (geometry); Human immunodeficiency virus (HIV); Population; Sida; Viral disease; Epidemiology; Lentivirus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004471832,0.0001115857,0.0002600341,0.0001923094,0.00008574249,0.00003262279,0.0001487405,0.00006943367,0.0009465605],"category_scores_gemma":[0.003916482,0.000110465,0.00006990089,0.0008564565,0.00004828817,0.0004095018,0.0003006535,0.0002401851,0.00004622119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009835335,"about_ca_system_score_gemma":0.00007354996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002750864,"about_ca_topic_score_gemma":0.0007569732,"domain_scores_codex":[0.9983783,0.0001631495,0.0004484991,0.0003694183,0.0004045856,0.000236011],"domain_scores_gemma":[0.9985135,0.0001847778,0.0001463041,0.0007269753,0.0002937226,0.0001347877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002058166,0.0001254557,0.9234523,0.00004245908,0.00004697736,0.0000150371,0.00005430276,0.00002758273,0.003444916,0.00001804896,0.003640854,0.06911146],"study_design_scores_gemma":[0.0006328322,0.0002331813,0.9808679,0.0004610894,0.00003323452,0.000008462565,0.00004349381,0.01410565,0.001615024,0.00005322647,0.001852624,0.00009332394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990082,0.0001329865,0.002942791,0.0002165599,0.00009460662,0.00008967111,0.0002067376,0.00005803422,0.006176614],"genre_scores_gemma":[0.9903528,0.0001220644,0.002287676,0.00002121318,0.000155,0.000008052347,0.003811601,0.00001693062,0.003224674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06901813,"threshold_uncertainty_score":0.9999667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09671792596147148,"score_gpt":0.3792122793451722,"score_spread":0.2824943533837007,"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."}}