{"id":"W2038146919","doi":"10.1371/journal.pone.0069604","title":"Validation of Next Generation Sequencing Technologies in Comparison to Current Diagnostic Gold Standards for BRAF, EGFR and KRAS Mutational Analysis","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"KRAS; Sanger sequencing; DNA sequencing; Gold standard (test); Computational biology; Ion semiconductor sequencing; Bioinformatics; Medicine; Gene; Colorectal cancer; Biology; Oncology; Cancer; Genetics; Internal 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":[0.04570556,0.0008221889,0.0009236685,0.001893298,0.0008172613,0.002555175,0.00128774,0.002068199,0.0007563969],"category_scores_gemma":[0.05078134,0.0004175131,0.0007166858,0.001288174,0.002166601,0.001549876,0.001257249,0.001246298,0.000541702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009680013,"about_ca_system_score_gemma":0.001497015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151426,"about_ca_topic_score_gemma":0.001147422,"domain_scores_codex":[0.9539235,0.0214697,0.003637047,0.005481292,0.01445498,0.001033512],"domain_scores_gemma":[0.9596007,0.02557352,0.002704572,0.004309271,0.007425969,0.0003859518],"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":[0.002600662,0.0004928805,0.1146965,0.001517786,0.0005507892,0.0006848645,0.00231075,0.007982753,0.7488313,0.006424258,0.0014534,0.1124541],"study_design_scores_gemma":[0.000114141,0.002448837,0.1117701,0.0004465895,0.0004526773,0.002118706,0.000928954,0.03188925,0.8196076,0.004923729,0.02515109,0.0001483701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6655908,0.008477512,0.3158157,0.001985373,0.0006061099,0.000809286,0.001433628,0.0008131204,0.004468509],"genre_scores_gemma":[0.7240006,0.002062081,0.2675657,0.001317071,0.0001419391,0.000956322,0.002321374,0.0002066856,0.001428196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04570556,"threshold_uncertainty_score":0.241717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07484327734445759,"score_gpt":0.2932819876830726,"score_spread":0.218438710338615,"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."}}