{"id":"W4322389509","doi":"10.1071/sh22163","title":"Sexual mixing patterns in men who have sex with men: network approaches for smart resource allocation","year":2023,"lang":"en","type":"article","venue":"Sexual Health","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Centers for Disease Control and Prevention; Ministry of Health of the People's Republic of China; Chinese Center for Disease Control and Prevention; National Natural Science Foundation of China","keywords":"Gonorrhea; Medicine; Thrush; Genitourinary medicine; Resource allocation; Genital warts; Men who have sex with men; Resource (disambiguation); Mixing (physics); Demography; Human papilloma virus; Syphilis; Computer science; Cancer; Virology; Cervical cancer; Internal medicine; Human immunodeficiency virus (HIV); Computer network; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001596053,0.0001646811,0.0003617596,0.0002254608,0.0002168881,0.000032521,0.0001194456,0.00008183444,0.00003244237],"category_scores_gemma":[0.00008262238,0.0001390024,0.00003351282,0.0004410316,0.00005456841,0.00009079661,0.00006163886,0.0003319214,0.00003000386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371254,"about_ca_system_score_gemma":0.0003104949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172393,"about_ca_topic_score_gemma":0.00487844,"domain_scores_codex":[0.9977025,0.000216197,0.000414321,0.0004342356,0.0003905492,0.0008422165],"domain_scores_gemma":[0.9990148,0.0001617209,0.00009515494,0.0003327044,0.00005503536,0.000340581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006974554,0.0003660173,0.1141132,0.002228222,0.0001471901,0.00002504706,0.009373624,0.0007481106,0.00005006691,0.0003870379,0.6867938,0.1850702],"study_design_scores_gemma":[0.007393727,0.03026398,0.128216,0.001453126,0.00005597887,0.00005309216,0.11942,0.6551857,0.0001181403,0.0002749424,0.05694785,0.000617483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757232,0.0008469945,0.030149,0.04500071,0.00006407208,0.007667111,0.000290249,0.000533556,0.0397251],"genre_scores_gemma":[0.731627,0.00004890572,0.00089663,0.0009265596,0.0009165569,0.0007743742,0.002356506,0.0001169468,0.2623365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6544375,"threshold_uncertainty_score":0.5668352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897955845482503,"score_gpt":0.366816716823765,"score_spread":0.2770211322755147,"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."}}