{"id":"W4239112819","doi":"10.1186/preaccept-8878001841312932","title":"Early immune adaptation in HIV-1 revealed by population-level approaches","year":2014,"lang":"en","type":"article","venue":"Retrovirology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; AIDS Vancouver; Simon Fraser University","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research; U.S. Department of Health and Human Services; National Institutes of Health; Michael Smith Health Research BC; Frederick National Laboratory for Cancer Research","keywords":"Human immunodeficiency virus (HIV); Adaptation (eye); Medicine; Population; Antibody; Immune system; Computational biology; Immunology; Data science; Biology; Environmental health; Computer science; Neuroscience","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":[0.002918678,0.0002175731,0.0004954127,0.0008129652,0.0004127269,0.001240538,0.0004957542,0.0004941318,0.00115901],"category_scores_gemma":[0.005122186,0.0002286614,0.0006422569,0.00104334,0.0005211169,0.0005516178,0.001005351,0.001008149,0.0002565724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264407,"about_ca_system_score_gemma":0.0003389104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009490688,"about_ca_topic_score_gemma":0.001520969,"domain_scores_codex":[0.9984797,0.0005276534,0.00006678614,0.0006829863,0.00012101,0.0001219249],"domain_scores_gemma":[0.9972519,0.001268846,0.0004638441,0.0007378911,0.0001479514,0.000129394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008534855,0.0002164821,0.8714208,0.000379997,0.001755072,0.0002107482,0.0007710613,0.007886506,0.07610563,0.002494758,0.0009658454,0.0369395],"study_design_scores_gemma":[0.00004062889,0.0005535775,0.9595996,0.00004408492,0.0004468637,0.000362674,0.000372306,0.02278505,0.006436529,0.004412764,0.004900514,0.00004546733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979195,0.0009111536,0.01524398,0.0000983663,0.0000116353,0.00006276793,0.003499726,0.0001004749,0.0008768213],"genre_scores_gemma":[0.9871416,0.0002409354,0.007718703,0.0001077234,0.00001850127,0.0001260807,0.004354994,0.00002089375,0.0002705068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002918678,"threshold_uncertainty_score":0.01543564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556698837309982,"score_gpt":0.2357205393838264,"score_spread":0.2001535510107266,"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."}}