{"id":"W2102059779","doi":"10.1371/journal.pone.0050859","title":"Quantification of Reverse Transcriptase Activity by Real-Time PCR as a Fast and Accurate Method for Titration of HIV, Lenti- and Retroviral Vectors","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Health; National Institutes of Health; Universität Ulm; National Institute of Allergy and Infectious Diseases; Vlaamse regering; European Commission; Universiteit Gent; Fonds Wetenschappelijk Onderzoek; School of Medicine, Stanford University; University of Oxford; York University","keywords":"Reverse transcriptase; Virology; Real-time polymerase chain reaction; Biology; Titer; Human immunodeficiency virus (HIV); Molecular biology; Virus; Computational biology; Polymerase chain reaction; Genetics; Gene","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":[0.007691079,0.002664428,0.002042227,0.002031472,0.0004861449,0.002114282,0.001607535,0.001479411,0.003792189],"category_scores_gemma":[0.003917017,0.001034546,0.0009735762,0.001578361,0.00132008,0.00135559,0.0009696333,0.003088899,0.003504151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086671,"about_ca_system_score_gemma":0.0009225401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002771932,"about_ca_topic_score_gemma":0.0006010446,"domain_scores_codex":[0.9898225,0.003084599,0.0008839277,0.002091976,0.003753991,0.000363021],"domain_scores_gemma":[0.9971604,0.001159996,0.0003883309,0.0004369954,0.0007857505,0.0000684905],"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":[0.00009891531,0.00008699643,0.0002338156,0.0005237383,0.00002316207,0.00004641137,0.0000804659,0.0003524868,0.9835564,0.0007388598,0.0004935774,0.01376508],"study_design_scores_gemma":[0.00002313787,0.0004296391,0.0008162372,0.00008471912,0.00006626724,0.0002117967,0.00003084206,0.00447073,0.9623952,0.0005115608,0.03089998,0.00005974256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05094123,0.01468525,0.9191157,0.0003956693,0.001068403,0.001557163,0.003065979,0.003755277,0.005415283],"genre_scores_gemma":[0.09944391,0.01160944,0.8558702,0.0005231459,0.0003890182,0.004597331,0.007195418,0.001107206,0.01926434],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007691079,"threshold_uncertainty_score":0.04067481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340478434576518,"score_gpt":0.3185211671563403,"score_spread":0.2651163828105751,"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."}}