{"id":"W1439532443","doi":"10.1089/hgtb.2013.128","title":"Improved Detection of Transgene and Nonviral Vectors in Blood","year":2013,"lang":"en","type":"article","venue":"Human Gene Therapy Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency; Australian Government","keywords":"Transgene; Biology; genomic DNA; Gene; Genetic enhancement; Plasmid; Gene delivery; Computational biology; Vector (molecular biology); Molecular biology; Transgenesis; Genetics; Recombinant DNA; Reproductive technology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490179,0.000107366,0.0001314753,0.00005474343,0.00002418221,0.000007458837,0.00006780933,0.00008992722,0.00002218551],"category_scores_gemma":[0.000007965423,0.0001027628,0.00004656191,0.00005853695,0.00003535246,0.000002372115,0.00001644622,0.00005396332,2.267898e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002827848,"about_ca_system_score_gemma":0.000006754513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059081,"about_ca_topic_score_gemma":0.00003500906,"domain_scores_codex":[0.9993749,0.00009461647,0.0001711451,0.0001880925,0.00003545063,0.0001357975],"domain_scores_gemma":[0.999724,0.000008873189,0.00003239622,0.0001761647,0.00002251524,0.00003601543],"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":[0.0000173256,0.00002855169,0.0004523514,0.000008846961,0.000029228,1.646976e-7,0.0001187455,0.00003555082,0.950802,0.00000201273,8.384558e-7,0.04850438],"study_design_scores_gemma":[0.0007525721,0.0004223631,0.02551076,0.000002538989,0.000007389924,0.000005408632,0.00002302287,0.0001632728,0.9727755,0.00007727904,0.0001492879,0.0001106099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375535,0.003004318,0.05915675,0.000005680703,0.00005106454,0.0001787405,0.000001094916,0.000006413401,0.00004249075],"genre_scores_gemma":[0.9735699,0.0005900135,0.02563936,0.00001972583,0.00006948658,0.00003277321,0.000005239634,0.00001872413,0.00005474627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04839377,"threshold_uncertainty_score":0.4190544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538733426126172,"score_gpt":0.3493493773120764,"score_spread":0.3339620430508147,"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."}}