{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004642936,0.00248053,0.00132507,0.004346755,0.001564521,0.001284021,0.003110003,0.00222603,0.00628328],"category_scores_gemma":[0.00525922,0.003373095,0.00167551,0.002077564,0.002340583,0.001929221,0.001781475,0.006996063,0.0109084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673211,"about_ca_system_score_gemma":0.001463128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323327,"about_ca_topic_score_gemma":0.00271725,"domain_scores_codex":[0.994505,0.002196715,0.0004035457,0.001258827,0.001267264,0.0003686814],"domain_scores_gemma":[0.9936426,0.003338068,0.0004364611,0.001474874,0.0008771101,0.0002308962],"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":[0.0001258643,0.0001799049,0.001256698,0.0004845707,0.00005541774,0.0002022605,0.000348085,0.0003604793,0.9396629,0.006305133,0.001360077,0.04965845],"study_design_scores_gemma":[0.0000258985,0.0003150159,0.002164804,0.0001192522,0.0001729181,0.0008104784,0.000134865,0.002903843,0.956789,0.003953437,0.03255966,0.0000508011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009662606,0.003604526,0.9790222,0.0003580066,0.0003391217,0.0004950375,0.0006324074,0.00120512,0.004680885],"genre_scores_gemma":[0.04099084,0.007417652,0.9259179,0.00109496,0.0002062691,0.001998568,0.00169514,0.0006966814,0.01998188],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00628328,"threshold_uncertainty_score":0.02455449,"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."}}