{"id":"W2088668371","doi":"10.3791/2531","title":"Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3","year":2010,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"Canadian Institutes of Health Research; ViiV Healthcare; GlaxoSmithKline; Pfizer","keywords":"Genotype; Biology; Inference; Human immunodeficiency virus (HIV); Population; Tropism; Computational biology; Virology; Genetics; Medicine; Computer science; Virus; Gene; Artificial intelligence","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":[0.001127702,0.0003015875,0.0002975227,0.0007485101,0.0002324662,0.000433459,0.0002765676,0.0004202027,0.0006810186],"category_scores_gemma":[0.002975593,0.0001549178,0.0003239562,0.0003199677,0.0002463993,0.0001653168,0.0001949521,0.0004093653,0.0002020383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668618,"about_ca_system_score_gemma":0.0002758989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000821376,"about_ca_topic_score_gemma":0.001197196,"domain_scores_codex":[0.9995696,0.0001874897,0.00002313263,0.0001170618,0.00007044307,0.00003225648],"domain_scores_gemma":[0.9988559,0.0007648118,0.0001443101,0.0001000053,0.00009586098,0.00003906006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001989484,0.0002813744,0.3813317,0.0002484272,0.0003650971,0.0008913709,0.0007061297,0.0359023,0.4871139,0.0019373,0.0006508463,0.08858214],"study_design_scores_gemma":[0.0002028768,0.001372147,0.4035597,0.0001250862,0.000519359,0.007965332,0.0005544499,0.3105785,0.2606435,0.007260518,0.007089355,0.0001292106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560493,0.0001819124,0.04119294,0.0000501327,0.000008278378,0.00006488662,0.0007862532,0.0002087705,0.001457411],"genre_scores_gemma":[0.9726829,0.00007328539,0.02623921,0.00005806093,0.000006786894,0.00003630856,0.0007471695,0.00003472152,0.0001215382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001127702,"threshold_uncertainty_score":0.005963922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04932506480073975,"score_gpt":0.4313952475625059,"score_spread":0.3820701827617661,"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."}}