{"id":"W1913674874","doi":"10.1128/jvi.01355-15","title":"Global Database-Driven Assessment of HIV-1 Adaptation to the Immune Repertoires of Human Populations","year":2015,"lang":"en","type":"article","venue":"Journal of Virology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; AIDS Vancouver","funders":"Canadian Institutes of Health Research","keywords":"Biology; Human immunodeficiency virus (HIV); Adaptation (eye); Immune system; Computational biology; Database; Evolutionary biology; Virology; Genetics; Neuroscience; Computer science","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":[0.002702885,0.0002091607,0.0004992494,0.002887307,0.0002719785,0.001337679,0.000447764,0.0003573203,0.001036824],"category_scores_gemma":[0.00815763,0.0001144976,0.0003431719,0.004563702,0.00026579,0.0007954328,0.001043247,0.0003159127,0.000330432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351021,"about_ca_system_score_gemma":0.0005243461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892799,"about_ca_topic_score_gemma":0.002488991,"domain_scores_codex":[0.9976839,0.0007934854,0.0003056355,0.0007630886,0.0003241114,0.0001298338],"domain_scores_gemma":[0.9942834,0.002451008,0.001245475,0.001184022,0.000529864,0.000306271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000701333,0.0001389634,0.9503604,0.0004374155,0.0007323718,0.0001551853,0.0003836697,0.005411221,0.006722028,0.0006832669,0.001941061,0.032333],"study_design_scores_gemma":[0.00004115051,0.0002093694,0.9762467,0.00006694285,0.0002956608,0.0007365175,0.0008369956,0.01093734,0.004681925,0.0008932671,0.005023914,0.00003010042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697063,0.0003746036,0.001125663,0.00007066263,0.000004445733,0.00002241799,0.02801066,0.00006525808,0.0006200457],"genre_scores_gemma":[0.9406015,0.0001882058,0.002485396,0.00004073419,0.000005831369,0.00004145964,0.05649147,0.00001370695,0.0001316065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002887307,"threshold_uncertainty_score":0.01429445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07273787191727196,"score_gpt":0.374901452424511,"score_spread":0.302163580507239,"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."}}