{"id":"W2063880708","doi":"10.1371/journal.pone.0049602","title":"Use of Four Next-Generation Sequencing Platforms to Determine HIV-1 Coreceptor Tropism","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerstvo Školství, Mládeže a Tělovýchovy; Biotechnology and Biological Sciences Research Council; ViiV Healthcare; National Institute of Allergy and Infectious Diseases; McMaster University; Pfizer","keywords":"Maraviroc; Tropism; Tissue tropism; Biology; Deep sequencing; Population; Indel; Ion semiconductor sequencing; Sanger sequencing; Virology; DNA sequencing; Computational biology; Genetics; Genotype; Human immunodeficiency virus (HIV); Virus; Genome; Gene; Single-nucleotide polymorphism; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303512,0.0006774234,0.0006005396,0.00107114,0.0005115389,0.0008220091,0.0003832802,0.0005993742,0.001195523],"category_scores_gemma":[0.001990285,0.0003722635,0.000562811,0.0005732458,0.0003004851,0.0003889324,0.0007698532,0.0005332804,0.0004838809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003374965,"about_ca_system_score_gemma":0.0004290266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087109,"about_ca_topic_score_gemma":0.001763525,"domain_scores_codex":[0.9986948,0.0002602798,0.0001293406,0.0003708973,0.0004322758,0.0001123848],"domain_scores_gemma":[0.9991073,0.0002727394,0.0001684903,0.0001091543,0.0002534233,0.0000888448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001481502,0.000193659,0.06238711,0.0003067062,0.0002973203,0.000286135,0.0006845694,0.004367694,0.8666968,0.0003165595,0.0004219874,0.06255995],"study_design_scores_gemma":[0.0001666246,0.002824545,0.2231054,0.0001299021,0.0007318587,0.002479224,0.000514003,0.04545132,0.7137271,0.00114288,0.009474857,0.0002523634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659603,0.0007775014,0.02877153,0.00008762182,0.0000295823,0.0002784958,0.002160594,0.00026321,0.001671219],"genre_scores_gemma":[0.820172,0.0005545511,0.1713073,0.0001971455,0.00001738051,0.0008097563,0.004888937,0.0001054623,0.001947453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303512,"threshold_uncertainty_score":0.006893694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2907248773887257,"score_gpt":0.2717251748598548,"score_spread":0.01899970252887095,"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."}}