{"id":"W2517294285","doi":"10.3934/mbe.2017023","title":"Multiplayer games and HIV transmission via casual encounters","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Casual; Transmission (telecommunications); Human immunodeficiency virus (HIV); Computer science; Psychology; Communication; Social psychology; Biology; Virology; Telecommunications; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001548886,0.001303571,0.0009901107,0.0006729766,0.0007683745,0.001663008,0.001469195,0.001559045,0.006835897],"category_scores_gemma":[0.008532567,0.0004923806,0.0009112478,0.0004332131,0.00147276,0.002590977,0.001729666,0.001532025,0.0004206883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180252,"about_ca_system_score_gemma":0.0007081365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596499,"about_ca_topic_score_gemma":0.003687497,"domain_scores_codex":[0.9978393,0.001304336,0.00007204211,0.000299222,0.0002202948,0.0002648271],"domain_scores_gemma":[0.9947557,0.003534523,0.00095928,0.0002158405,0.00020129,0.0003334002],"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":[0.000428493,0.0002582062,0.004863398,0.0002101497,0.0002388356,0.0006983269,0.001108925,0.5299395,0.00201877,0.4384936,0.002637436,0.01910439],"study_design_scores_gemma":[0.00008348747,0.0001772937,0.0008515506,0.0000274007,0.000036135,0.0001379501,0.0001828255,0.7964988,0.0002623836,0.1992616,0.002443182,0.00003743417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4574273,0.001675285,0.4905789,0.003798785,0.0002904476,0.0004974124,0.0006564579,0.000344007,0.04473135],"genre_scores_gemma":[0.9628693,0.0005581251,0.02301712,0.0002919998,0.00008982505,0.0002669354,0.0001120323,0.00002290643,0.01277176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006835897,"threshold_uncertainty_score":0.02286839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008218111447721674,"score_gpt":0.2398802270879874,"score_spread":0.2316621156402657,"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."}}