{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848963,0.0001289512,0.0001163918,0.00003245163,0.0003314663,0.0001734136,0.000284708,0.0001450514,0.000006026568],"category_scores_gemma":[0.0002797248,0.0001113257,0.0001060588,0.000019763,0.00009451751,0.00001520834,0.0001070452,0.00003173536,0.00001773654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007138668,"about_ca_system_score_gemma":0.00008367228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009873847,"about_ca_topic_score_gemma":0.00004125729,"domain_scores_codex":[0.9992492,0.00001255677,0.0002700555,0.0001358147,0.0001188535,0.0002135602],"domain_scores_gemma":[0.9990869,0.00001813211,0.0002515464,0.0004621369,0.0001090398,0.00007222548],"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":[0.0007105552,0.0004547322,0.1203838,0.001707931,0.0004982145,0.000003188094,0.001631392,0.003451184,0.6502405,0.006489282,0.01438916,0.2000401],"study_design_scores_gemma":[0.002340023,0.001201316,0.01640933,0.00006325463,0.00009098287,0.000006652474,0.0003920777,0.1223152,0.6241473,0.002501261,0.2296087,0.0009239751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447486,0.0005897031,0.4452105,0.0001524513,0.0005727497,0.0006232194,0.00008850748,0.0000287127,0.007985536],"genre_scores_gemma":[0.7907553,0.0003505083,0.2058726,0.0002356947,0.0005872902,0.00007353727,0.0003275882,0.0000346592,0.001762897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460066,"threshold_uncertainty_score":0.4539732,"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."}}