{"id":"W2063617625","doi":"10.1016/j.jtbi.2005.03.002","title":"Monte Carlo estimates of natural variation in HIV infection","year":2005,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Statistical physics; Human immunodeficiency virus (HIV); Monte Carlo molecular modeling; Replication (statistics); Dynamic Monte Carlo method; Viral replication; Physics; Biology; Biological system; Computer science; Virus; Virology; Mathematics; Statistics; Markov chain Monte Carlo","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":[0.01379565,0.000577902,0.001537785,0.002052216,0.001156605,0.002373776,0.002818119,0.002624089,0.004684067],"category_scores_gemma":[0.09146968,0.001736313,0.00145632,0.001246061,0.003551017,0.004540972,0.002066593,0.003167722,0.0003785685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077204,"about_ca_system_score_gemma":0.001520105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006727391,"about_ca_topic_score_gemma":0.007160564,"domain_scores_codex":[0.9957982,0.003055547,0.0001128529,0.0004509252,0.0003417541,0.0002406674],"domain_scores_gemma":[0.8482396,0.1406816,0.00246384,0.005553116,0.001955067,0.001106705],"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":[0.0002201255,0.00009675151,0.007869759,0.00008446973,0.0002245078,0.0001179216,0.0002757227,0.8002333,0.000450423,0.1812329,0.001382405,0.007811745],"study_design_scores_gemma":[0.00005301805,0.00003655862,0.002216736,0.00004752566,0.00003436291,0.0001080565,0.00005628617,0.8821378,0.0002224854,0.1146025,0.0004427678,0.00004197314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3951557,0.001489246,0.5917484,0.002853466,0.0002218409,0.0001759829,0.0004898197,0.0005670454,0.007298481],"genre_scores_gemma":[0.9479913,0.000484964,0.04682641,0.0005206969,0.0001992879,0.0002661033,0.0003780515,0.0001122191,0.003220954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01379565,"threshold_uncertainty_score":0.07295918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005927354337461587,"score_gpt":0.2750197262913883,"score_spread":0.2690923719539267,"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."}}