{"id":"W2771914737","doi":"10.1007/978-1-4939-7481-8_17","title":"Microdroplet PCR for Highly Multiplexed Targeted Bisulfite Sequencing","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Bisulfite sequencing; Bisulfite; Amplicon; Computational biology; Methylated DNA immunoprecipitation; Digital polymerase chain reaction; Biology; Primer dimer; Multiple displacement amplification; Illumina Methylation Assay; In silico PCR; Polymerase chain reaction; DNA sequencing; Primer (cosmetics); DNA; DNA methylation; Molecular biology; Genetics; Multiplex polymerase chain reaction; Gene; Chemistry; DNA extraction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980936,0.001850338,0.001541354,0.002010708,0.0008840704,0.001049661,0.002660189,0.001453279,0.008985577],"category_scores_gemma":[0.002851914,0.002017663,0.0009196938,0.0008805379,0.0009494681,0.00104306,0.001502502,0.003469243,0.007729615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000853216,"about_ca_system_score_gemma":0.001358915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007370081,"about_ca_topic_score_gemma":0.003671754,"domain_scores_codex":[0.996635,0.0008341412,0.0002033461,0.001102313,0.0009627927,0.0002622685],"domain_scores_gemma":[0.9987323,0.0005675865,0.0001134887,0.0002970396,0.0001831553,0.0001065725],"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":[0.0001253826,0.0001587226,0.0003492033,0.0001487956,0.00004335463,0.00005939098,0.00009981884,0.0007518037,0.967556,0.002577881,0.002867894,0.02526179],"study_design_scores_gemma":[0.00003136681,0.0002528605,0.0006819952,0.00003387646,0.00005593387,0.0001264477,0.0000194499,0.01570565,0.9597065,0.001859643,0.02149232,0.00003408253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01385258,0.0005929223,0.97499,0.0001960437,0.0002017467,0.0006962228,0.001769219,0.005107356,0.002593931],"genre_scores_gemma":[0.04131328,0.0006483354,0.9377244,0.0004694343,0.00006831646,0.00189491,0.0047154,0.0008603478,0.01230561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008985577,"threshold_uncertainty_score":0.03005975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864114488633355,"score_gpt":0.4021556825251509,"score_spread":0.3635145376388174,"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."}}