{"id":"W2430238786","doi":"10.1007/978-1-4939-3360-0_16","title":"PCR Techniques in Characterizing DNA Methylation","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"DNA methylation; Computational biology; Biology; Computer science; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001717348,0.0001790758,0.0002354314,0.0002377241,0.00002158714,0.000008757336,0.0001923033,0.0003722161,0.00001771223],"category_scores_gemma":[0.000619966,0.0001430752,0.00007658479,0.0002014001,0.00008639008,0.000004649371,0.0001281539,0.0001009866,0.00000370864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003917745,"about_ca_system_score_gemma":0.00003746537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001893334,"about_ca_topic_score_gemma":0.00002992109,"domain_scores_codex":[0.9976416,0.001079342,0.0004020398,0.0004954057,0.00005785863,0.0003237189],"domain_scores_gemma":[0.9993328,0.00008243539,0.0001169476,0.000374047,0.00004792043,0.0000458215],"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":[0.00002456283,0.00002378164,0.008710642,0.000004040357,0.000007378277,0.000003458814,0.00001413225,0.000001516902,0.8190388,0.0005708262,0.000001796396,0.1715991],"study_design_scores_gemma":[0.0003477861,0.0001673536,0.00603035,0.00002295193,0.000003813651,0.000001806914,0.000005733967,0.00001150856,0.970137,0.007745686,0.01532314,0.0002028912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3583426,0.0008071911,0.6395727,0.0002833963,0.0001096146,0.0001783884,0.000004288111,0.00001369524,0.0006881038],"genre_scores_gemma":[0.4420155,0.0006619591,0.5566694,0.0002660198,0.0001004529,0.00009627811,0.00005006591,0.00003554712,0.0001047572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1713962,"threshold_uncertainty_score":0.5834438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219173873232461,"score_gpt":0.3755454423511089,"score_spread":0.3536280550278628,"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."}}