{"id":"W2571860460","doi":"10.1111/eva.12458","title":"Modelling the evolution of <scp>HIV</scp>‐1 virulence in response to imperfect therapy and prophylaxis","year":2017,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Virulence; Experimental evolution; Human immunodeficiency virus (HIV); Evolutionary biology; Computational biology; Ecology; Virology; Genetics; Gene","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":[0.0008883177,0.0004913131,0.0005548608,0.0005651254,0.0004766335,0.001403359,0.0007802207,0.001722094,0.002638639],"category_scores_gemma":[0.004831551,0.0004096243,0.0007776416,0.0004629205,0.001065119,0.0008634219,0.0008941925,0.001142359,0.0002716196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723337,"about_ca_system_score_gemma":0.0009415846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244483,"about_ca_topic_score_gemma":0.01130587,"domain_scores_codex":[0.9997428,0.0001081872,0.000009525206,0.00003507346,0.0000186822,0.00008565143],"domain_scores_gemma":[0.9981024,0.001192942,0.0003402357,0.00006182175,0.0000982598,0.0002043489],"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":[0.000059274,0.00004344874,0.008010103,0.00002462818,0.00002307158,0.00009692946,0.00005538138,0.9837537,0.000803549,0.005083989,0.0003424242,0.001703353],"study_design_scores_gemma":[0.00001406355,0.00003752993,0.001938808,0.000007309614,0.00001195987,0.00002041722,0.00004600763,0.9950956,0.0001322175,0.002402024,0.0002831051,0.00001109239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742427,0.0003221293,0.01496888,0.001337586,0.00006247235,0.00003486082,0.0003140206,0.00005305383,0.008664184],"genre_scores_gemma":[0.9930501,0.0002183286,0.003162697,0.000127302,0.00001603617,0.00003973816,0.0001463409,0.00002182969,0.003217698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0244483,"threshold_uncertainty_score":0.048612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997983309991537,"score_gpt":0.2746126502181436,"score_spread":0.2546328171182283,"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."}}