{"id":"W2146053290","doi":"10.1186/1756-0500-4-565","title":"A refined, rapid and reproducible high resolution melt (HRM)-based method suitable for quantification of global LINE-1 repetitive element methylation","year":2011,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon Health Network; Saint John Regional Hospital; Dalhousie University; Queen's University","funders":"Canadian Cancer Society Research Institute; Queen's University","keywords":"DNA methylation; Methylation; High Resolution Melt; Computational biology; Reproducibility; Bisulfite sequencing; Population; Biology; DNA; Molecular biology; Polymerase chain reaction; Genetics; Chemistry; Gene; Medicine; Chromatography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005134121,0.0001193532,0.0001686851,0.00009507954,0.0001484461,0.00002290509,0.0001305473,0.0001670951,0.00001387432],"category_scores_gemma":[0.003978105,0.0001148543,0.0000684677,0.000281183,0.0001093789,0.00001039732,0.00008434426,0.00008003272,0.000001568177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004167023,"about_ca_system_score_gemma":0.0001974384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007809785,"about_ca_topic_score_gemma":0.0003627904,"domain_scores_codex":[0.9978074,0.0005596796,0.0003719071,0.0006513951,0.0003085068,0.0003010999],"domain_scores_gemma":[0.9979346,0.0002396018,0.000173061,0.0006093935,0.000969698,0.00007365611],"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":[0.001061786,0.0001567247,0.007243442,0.0001539449,0.00003273652,2.008612e-7,0.00005727462,0.0005609821,0.9718959,0.005486169,0.00008209397,0.01326869],"study_design_scores_gemma":[0.0006828131,0.001112258,0.0205931,0.00002687975,0.00002215728,3.356886e-7,0.00006789961,0.0035365,0.9667894,0.005532965,0.00151513,0.0001206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.398451,0.002994682,0.5969348,0.0002127973,0.00007189016,0.0008516252,0.00009369037,0.00001187825,0.000377621],"genre_scores_gemma":[0.8154649,0.000263014,0.1836687,0.000008764167,0.0001086448,0.0001315873,0.0002595465,0.00001450865,0.00008027763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4170139,"threshold_uncertainty_score":0.476245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2134024455625343,"score_gpt":0.4301234620843187,"score_spread":0.2167210165217844,"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."}}