{"id":"W2915565085","doi":"10.21769/bioprotoc.3171","title":"Rapid Multiplexed Reduced Representation Bisulfite Sequencing Library Prep (rRRBS)","year":2019,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; McGill University Health Centre; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Bisulfite sequencing; Multiple displacement amplification; Bisulfite; Computational biology; DNA methylation; Biology; Epigenetics; Digital polymerase chain reaction; DNA sequencing; Polymerase chain reaction; Molecular biology; DNA; Genetics; DNA extraction; Gene; 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":[0.0001862188,0.0001943949,0.0001578541,0.00007521411,0.00007332063,0.00007150513,0.0002097292,0.000219576,0.0003500165],"category_scores_gemma":[0.00007263103,0.0001833054,0.0001167933,0.0001725131,0.00003784624,0.00002052324,0.0001499181,0.00008786578,0.0001021167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002051151,"about_ca_system_score_gemma":0.0001294757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002276827,"about_ca_topic_score_gemma":0.00000260964,"domain_scores_codex":[0.9985053,0.000135165,0.0003568301,0.0005585067,0.0001860336,0.0002581415],"domain_scores_gemma":[0.9989599,0.00001926417,0.0001950827,0.0006568974,0.00007030528,0.00009853105],"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":[0.0002956743,0.0000351278,0.009387869,0.00005895138,0.00002175156,0.000001432523,0.00003463918,0.0001233264,0.9808652,0.00002551886,0.001192033,0.007958448],"study_design_scores_gemma":[0.001372527,0.0003330306,0.004843327,0.00002351919,0.000005113232,0.000001511178,0.00002887867,0.0003518591,0.8327121,0.0001062607,0.1600051,0.0002167766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.5809001,0.00003491174,0.0002062296,0.0001282388,0.0001943225,0.4048198,0.00001826707,0.00008556507,0.01361256],"genre_scores_gemma":[0.3243564,0.00001868096,0.005702275,0.0001965479,0.0005954885,0.6635812,0.000335454,0.00008849701,0.005125466],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.2587614,"threshold_uncertainty_score":0.7474978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976951615963887,"score_gpt":0.312810879021038,"score_spread":0.2830413628613991,"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."}}