{"id":"W2008153500","doi":"10.1371/journal.pone.0031597","title":"Winnowing DNA for Rare Sequences: Highly Specific Sequence and Methylation Based Enrichment","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal; University of British Columbia","funders":"National Human Genome Research Institute; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre","keywords":"DNA methylation; DNA; Biology; Oligonucleotide; DNA sequencing; 5-Methylcytosine; Molecular biology; Cytosine; Sequencing by ligation; Genetics; DNA nanoball sequencing; Methylated DNA immunoprecipitation; Methylation; Gene; Genomic library; Base sequence; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009203325,0.0008214826,0.000759427,0.001645399,0.0005064218,0.0007204621,0.001000629,0.001021664,0.006103376],"category_scores_gemma":[0.002358826,0.0005924897,0.0004624204,0.001058108,0.0004704604,0.0006074964,0.001122442,0.001510218,0.006453078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854937,"about_ca_system_score_gemma":0.0005352662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003589568,"about_ca_topic_score_gemma":0.001527611,"domain_scores_codex":[0.9989825,0.0001921294,0.00005891877,0.0002907128,0.000360659,0.0001150179],"domain_scores_gemma":[0.9990864,0.0003514351,0.0001466089,0.0001288689,0.000164002,0.0001227391],"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":[0.0001352209,0.00004851523,0.0004470812,0.0001936259,0.00002718532,0.0001097469,0.0000483507,0.000389642,0.9523531,0.001344099,0.001083151,0.04382033],"study_design_scores_gemma":[0.00002746883,0.0001643126,0.001114957,0.00002874566,0.00003788736,0.0004991472,0.00002110165,0.006863198,0.9700155,0.001551768,0.01964527,0.00003058058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06325548,0.00394725,0.9199403,0.00076933,0.0003494662,0.0006973123,0.001259006,0.004451587,0.005330271],"genre_scores_gemma":[0.1409656,0.0028182,0.8317448,0.0008844892,0.0001259588,0.0006056726,0.00405329,0.0008210489,0.01798087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006103376,"threshold_uncertainty_score":0.02041781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05745072480653861,"score_gpt":0.2567893694832054,"score_spread":0.1993386446766667,"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."}}