{"id":"W2428988383","doi":"10.1016/j.idm.2016.05.001","title":"A mathematical modeling study of the HIV epidemics at two rural townships in the Liangshan Prefecture of the Sichuan Province of China","year":2016,"lang":"en","type":"article","venue":"Infectious Disease Modelling","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Ministry of Science and Technology of the People's Republic of China; University of Alberta","keywords":"China; Psychological intervention; Demography; Population; Incidence (geometry); Geography; Human immunodeficiency virus (HIV); Transmission (telecommunications); Environmental health; Epidemiology; Medicine; Virology; Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339868,0.0008794617,0.0008036428,0.001099536,0.00101881,0.001393569,0.001991298,0.001216502,0.002220423],"category_scores_gemma":[0.003415087,0.0004612034,0.001374467,0.0009259886,0.0009396828,0.001253213,0.001112463,0.000886858,0.0001643021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003334795,"about_ca_system_score_gemma":0.003341406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08624241,"about_ca_topic_score_gemma":0.02649359,"domain_scores_codex":[0.9995925,0.0001542756,0.00001470032,0.00007408967,0.000048488,0.0001160384],"domain_scores_gemma":[0.9985096,0.0007961467,0.0003032618,0.00003442959,0.0002465036,0.0001100604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002686807,0.00006684846,0.008176252,0.00003941025,0.0000442316,0.0003701645,0.0002000465,0.9752998,0.0002929111,0.0132699,0.000567272,0.001646303],"study_design_scores_gemma":[0.000009962294,0.00002539663,0.000897216,0.000004946474,0.00001614836,0.00002609328,0.0000845333,0.9973994,0.0000295857,0.001272274,0.000228403,0.000006114188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669975,0.0008837167,0.112356,0.002047829,0.00008036221,0.0002282746,0.0006325567,0.0001278949,0.01664581],"genre_scores_gemma":[0.9858481,0.0005476457,0.007648457,0.00009126902,0.00003461728,0.0002039758,0.0002481662,0.0000234546,0.005354161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08624241,"threshold_uncertainty_score":0.1714808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09972714468926847,"score_gpt":0.3805781714230079,"score_spread":0.2808510267337394,"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."}}