{"id":"W2021695563","doi":"10.1016/j.jtbi.2006.05.032","title":"Natural variation in HIV infection: Monte Carlo estimates that include CD8 effector cells","year":2006,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viral load; CD8; Population; Immunology; Human immunodeficiency virus (HIV); Biology; Monte Carlo method; Virology; Lentivirus; Virus; Effector; Antiretroviral therapy; Viral disease; Medicine; Immune system; Statistics; Mathematics","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":[0.01066835,0.000624204,0.001567913,0.001171592,0.0009761704,0.001837457,0.002270883,0.002235148,0.003626181],"category_scores_gemma":[0.05575559,0.001170687,0.00130069,0.00106263,0.002095389,0.004020465,0.001573007,0.002708777,0.0003293347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095612,"about_ca_system_score_gemma":0.0009863916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005445821,"about_ca_topic_score_gemma":0.00574104,"domain_scores_codex":[0.9976464,0.001682893,0.00006751384,0.0002541832,0.0001813177,0.000167592],"domain_scores_gemma":[0.9221801,0.07048114,0.001802587,0.003344047,0.001371613,0.000820582],"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":[0.0001515187,0.00007847168,0.00538771,0.00004429242,0.0001127173,0.0001257432,0.0001299687,0.9297937,0.0002853415,0.05701416,0.0007509163,0.006125373],"study_design_scores_gemma":[0.00002377882,0.00002328243,0.0008192201,0.00001577917,0.00002297505,0.00005087753,0.00002284511,0.973451,0.0001100278,0.02525688,0.000186139,0.00001727101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.412079,0.001114906,0.5782405,0.001375952,0.0001276901,0.0001572237,0.0002454483,0.0003625923,0.00629672],"genre_scores_gemma":[0.9428442,0.0004084446,0.05239869,0.0003782455,0.0001523545,0.0002381986,0.0002516796,0.0001302444,0.003197947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01066835,"threshold_uncertainty_score":0.05642033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005529835663853874,"score_gpt":0.2556833281634881,"score_spread":0.2501534924996342,"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."}}