{"id":"W2766029068","doi":"10.1186/s12859-017-1827-1","title":"VAliBS: a visual aligner for bisulfite sequences","year":2017,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Bisulfite; Computer science; Bisulfite sequencing; DNA methylation; Computational biology; Methylation; Visualization; Artificial intelligence; DNA; Genetics; Biology; 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":[0.002717338,0.003010652,0.001507372,0.003183529,0.0009349946,0.001549654,0.003268227,0.001493216,0.05421063],"category_scores_gemma":[0.006957853,0.001679389,0.001776995,0.001941316,0.0005139246,0.002031808,0.002484669,0.002431969,0.0166547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008379247,"about_ca_system_score_gemma":0.001417196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885698,"about_ca_topic_score_gemma":0.00177351,"domain_scores_codex":[0.9984896,0.0003256445,0.0002257309,0.0004221674,0.0003988151,0.0001379727],"domain_scores_gemma":[0.9983669,0.0008780032,0.0002038664,0.0001631416,0.0002722975,0.0001157933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004273269,0.0002540845,0.003560606,0.006753239,0.0008487703,0.00104336,0.001395792,0.007353289,0.1044329,0.01175985,0.4031043,0.4552205],"study_design_scores_gemma":[0.001306212,0.0006452992,0.00557535,0.0009516408,0.0003136301,0.001590527,0.000300791,0.1282714,0.1891993,0.02810274,0.6432005,0.0005425314],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004929467,0.001166878,0.4939301,0.0002726725,0.0004271572,0.0003556855,0.02151399,0.4737606,0.003643476],"genre_scores_gemma":[0.03620253,0.001043344,0.8234395,0.0008768309,0.0001309914,0.001989089,0.04974285,0.07606226,0.01051261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05421063,"threshold_uncertainty_score":0.1813526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425271992780252,"score_gpt":0.334106417647426,"score_spread":0.2998536977196236,"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."}}