{"id":"W2029755843","doi":"10.4236/alc.2013.21004","title":"The bisulfite genomic sequencing protocol","year":2013,"lang":"en","type":"article","venue":"Advances in Lung Cancer","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"McGill University","keywords":"Bisulfite; Protocol (science); False positive paradox; Bisulfite sequencing; DNA methylation; Computer science; Computational biology; Methylated DNA immunoprecipitation; DNA; DNA sequencing; genomic DNA; Biology; Genetics; Medicine; Gene; Artificial intelligence","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":[0.002698904,0.002375749,0.001996717,0.003257995,0.001656854,0.001622978,0.002405619,0.001378848,0.01872025],"category_scores_gemma":[0.002225334,0.001629754,0.001433404,0.002516518,0.001037347,0.0009540707,0.002107457,0.003735567,0.02204773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315578,"about_ca_system_score_gemma":0.00256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001497115,"about_ca_topic_score_gemma":0.003096584,"domain_scores_codex":[0.9959304,0.001175505,0.0004334215,0.0009122367,0.001292934,0.0002555589],"domain_scores_gemma":[0.9990678,0.0001182502,0.00009315728,0.0003428629,0.0002949159,0.0000830561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007911366,0.0003712373,0.0014627,0.002139022,0.0002230261,0.0005292428,0.0005137611,0.002317633,0.7448528,0.01194112,0.06226483,0.1725934],"study_design_scores_gemma":[0.0001963487,0.0006730417,0.001801645,0.0002017563,0.000262036,0.001249824,0.00006809273,0.003812517,0.2499245,0.004044006,0.7375898,0.0001764381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01511809,0.007769209,0.9053317,0.0006839274,0.001352196,0.01099767,0.01785512,0.01293536,0.02795669],"genre_scores_gemma":[0.02127697,0.008299042,0.8604412,0.001292799,0.0002237419,0.01614056,0.04941568,0.001722699,0.04118738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01872025,"threshold_uncertainty_score":0.06262547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006904182781686185,"score_gpt":0.3227560957349577,"score_spread":0.3158519129532715,"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."}}