{"id":"W2950493549","doi":"10.1093/nar/gky677","title":"Umap and Bismap: quantifying genome and methylome mappability","year":2018,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Vector Institute; Princess Margaret Cancer Centre; University of Toronto","funders":"National Human Genome Research Institute; University Health Network; University of Toronto; Canadian Cancer Society; Princess Margaret Cancer Foundation; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genome; Genetics; Computational biology; DNA sequencing; Hybrid genome assembly; Cancer genome sequencing; Bisulfite sequencing; Whole genome sequencing; Genomics; Human genome; Reference genome; DNA methylation; Gene","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":[0.003235663,0.001631963,0.00129044,0.005570757,0.0008999213,0.001993997,0.001782744,0.001397719,0.009887807],"category_scores_gemma":[0.01229618,0.001211385,0.001309483,0.004513436,0.000617551,0.001972602,0.003254737,0.001731903,0.00380825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225182,"about_ca_system_score_gemma":0.0007418236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002784905,"about_ca_topic_score_gemma":0.005125924,"domain_scores_codex":[0.9975328,0.0003944159,0.0001509609,0.0007261677,0.00103595,0.0001596581],"domain_scores_gemma":[0.9964256,0.001653686,0.0005924349,0.0005912429,0.0005803742,0.0001566563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002109182,0.0002817003,0.05399984,0.003089343,0.001485388,0.0004756371,0.001841888,0.02510868,0.2269886,0.01812405,0.08088393,0.5856117],"study_design_scores_gemma":[0.0001796241,0.000400345,0.09520286,0.0003078408,0.0005641389,0.001166645,0.0004884995,0.262423,0.454901,0.03297668,0.1507453,0.0006441888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07209916,0.001795142,0.7782148,0.0002990923,0.0002299662,0.0004589243,0.05357221,0.08524029,0.008090308],"genre_scores_gemma":[0.1229277,0.0009462332,0.8225351,0.0003312027,0.00008250615,0.002235546,0.03473777,0.01007419,0.006129805],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009887807,"threshold_uncertainty_score":0.03307801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09086617335044819,"score_gpt":0.3920124527857351,"score_spread":0.3011462794352869,"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."}}