{"id":"W2323555810","doi":"10.1093/nar/gkw224","title":"Simple, multiplexed, PCR-based barcoding of DNA enables sensitive mutation detection in liquid biopsies using sequencing","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; Cancerfonden; Barncancerfonden; Göteborgs Universitet; Sahlgrenska Akademin","keywords":"Biology; Digital polymerase chain reaction; Oligonucleotide; Computational biology; DNA; Polymerase chain reaction; DNA sequencing; Multiple displacement amplification; DNA nanoball sequencing; Massive parallel sequencing; Sequencing by ligation; Sequencing by hybridization; Genetics; Genomic library; Molecular biology; DNA sequencer; DNA extraction; Gene; Base sequence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006893742,0.0001065706,0.00013576,0.0002445635,0.0001076697,0.00002107171,0.0001122229,0.0001412318,0.00001248697],"category_scores_gemma":[0.0009650307,0.00009319918,0.00005333997,0.0002599897,0.0001973304,0.000009741608,0.0001173969,0.0001023516,0.000003776428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400883,"about_ca_system_score_gemma":0.0002813351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005366682,"about_ca_topic_score_gemma":0.0005395979,"domain_scores_codex":[0.9987024,0.000159527,0.0002357591,0.0003102707,0.000237181,0.0003548816],"domain_scores_gemma":[0.9991046,0.0001973169,0.00006630729,0.0002320821,0.0003357005,0.00006403324],"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":[0.0003607041,0.0000210806,0.001113086,0.00003064966,0.00001188688,0.00001184954,0.00009999822,0.000886338,0.9918991,0.00002592721,0.00001205439,0.005527317],"study_design_scores_gemma":[0.0007509353,0.0003964716,0.001185718,0.00008112912,0.000004332807,0.000006222061,0.0005318189,0.004937139,0.9915885,0.00008522009,0.0003124757,0.0001200847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993533,0.00009154171,0.005880103,0.0000587094,0.00004833149,0.0002104557,0.00004369609,0.000006955348,0.0001272205],"genre_scores_gemma":[0.9986187,0.0001059775,0.001050645,0.00002836539,0.0001240613,0.00001221781,0.00001771881,0.00002603765,0.00001626075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005407232,"threshold_uncertainty_score":0.3800552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04938955921675192,"score_gpt":0.3270156179274509,"score_spread":0.277626058710699,"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."}}