{"id":"W4394031156","doi":"10.5281/zenodo.704730","title":"Mappability of the mouse and human genomes and methylomes with Umap and Bismap","year":2017,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; McGill University; University of Toronto","funders":"","keywords":"Genome; Biology; Computational biology; 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":[0.001490532,0.002550295,0.001887219,0.00347057,0.001094435,0.001905851,0.003426571,0.001854048,0.02743617],"category_scores_gemma":[0.00515207,0.0008101646,0.001872451,0.005109038,0.0004982981,0.0009862817,0.002860414,0.001882209,0.02870542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159067,"about_ca_system_score_gemma":0.002532507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166484,"about_ca_topic_score_gemma":0.02188607,"domain_scores_codex":[0.9987827,0.0001859885,0.0001294657,0.0004745307,0.0002901166,0.0001371996],"domain_scores_gemma":[0.998628,0.0003963146,0.0001363542,0.0004367782,0.0002400384,0.0001625794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009078134,0.0001486893,0.007639782,0.003520957,0.000583506,0.0002862859,0.0002121483,0.003450135,0.006409314,0.002384254,0.9522142,0.02224294],"study_design_scores_gemma":[0.0008769727,0.00008731442,0.01995809,0.0005138421,0.0003312762,0.0004071136,0.0001388,0.002970906,0.007965501,0.004497332,0.962144,0.0001088645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001657259,0.000215849,0.0007013128,0.00005862977,0.00002310666,0.00002541616,0.9953442,0.001225234,0.000748855],"genre_scores_gemma":[0.0008005297,0.00005838497,0.00072341,0.00002285076,0.000002988131,0.00007057424,0.99793,0.0001309132,0.0002602974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02743617,"threshold_uncertainty_score":0.09178311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249995202318055,"score_gpt":0.266569368418262,"score_spread":0.2440694163950815,"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."}}