{"id":"W2046660691","doi":"10.1007/s12575-009-9010-3","title":"A Modified Protocol for Bisulfite Genomic Sequencing of Difficult Samples","year":2009,"lang":"en","type":"article","venue":"Biological Procedures Online","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Directorate for Biological Sciences; McGill University; Nanyang Technological University; Cancer Research Society; Institute of Cancer Research; Institut Du Cancer de Montréal","keywords":"Bisulfite; Cytosine; Deamination; Restriction digest; DNA; genomic DNA; Restriction enzyme; Biology; Polymerase chain reaction; DNA methylation; Computational biology; Bisulfite sequencing; Molecular biology; Biochemistry; Gene; Enzyme; 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":[0.0001402897,0.000151171,0.0001867877,0.00003067504,0.00005221561,0.000009448881,0.0001655666,0.0002075065,0.000004367664],"category_scores_gemma":[0.0005764301,0.0001053454,0.0001001716,0.00007294666,0.00005770648,0.000001796687,0.00003843437,0.00004952799,4.689024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001371928,"about_ca_system_score_gemma":0.0001017581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000354997,"about_ca_topic_score_gemma":0.00001193337,"domain_scores_codex":[0.9990467,0.00003132318,0.0003221657,0.0003256525,0.00006802451,0.00020618],"domain_scores_gemma":[0.9994219,0.00002508383,0.000151731,0.000173902,0.0001682201,0.00005916373],"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":[0.0003316956,0.000168259,0.0006091497,0.00004321579,0.00001191959,2.124817e-7,0.00001017951,0.0006040553,0.9952108,0.0002210567,0.00007593865,0.002713545],"study_design_scores_gemma":[0.002508898,0.004614199,0.06012326,0.00006089018,0.00001807275,0.000004125859,0.000047477,0.0007336338,0.9104537,0.005814632,0.01514862,0.0004724743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726722,0.0001987817,0.004755352,0.0001240242,0.00001639775,0.02201142,0.0001135804,0.00001971516,0.00008850556],"genre_scores_gemma":[0.980726,0.00004297783,0.01048588,0.0001875824,0.0002575968,0.007829096,0.0004051811,0.000009660776,0.00005599849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08475706,"threshold_uncertainty_score":0.4295859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08691515981385817,"score_gpt":0.3537637271344296,"score_spread":0.2668485673205714,"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."}}