{"id":"W4392563655","doi":"10.1093/bioinformatics/btae136","title":"EpiVar Browser: advanced exploration of epigenomics data under controlled access","year":2024,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; Genome Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Ministry of Education, Culture, Sports, Science and Technology; National Institute of Diabetes and Digestive and Kidney Diseases; McGill University","keywords":"Computer science; Epigenomics; Software; Data exploration; World Wide Web; Programming language; Data mining; Biology; Visualization","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00778722,0.001629108,0.001089759,0.003574663,0.0009729433,0.003649115,0.002991509,0.001292507,0.05783517],"category_scores_gemma":[0.01553,0.001325004,0.001296193,0.003284719,0.0005726762,0.003655606,0.00588687,0.002380525,0.01931544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007312472,"about_ca_system_score_gemma":0.002701454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007456386,"about_ca_topic_score_gemma":0.01259982,"domain_scores_codex":[0.9983846,0.0004662275,0.0001716114,0.0004043762,0.0004498172,0.0001234592],"domain_scores_gemma":[0.9936466,0.003373625,0.0003332868,0.001281812,0.0008550069,0.0005096796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001545648,0.0001859162,0.01346091,0.002131476,0.0005332272,0.00103739,0.002040086,0.004557206,0.01248311,0.02518,0.8532459,0.08359899],"study_design_scores_gemma":[0.0006730371,0.0001348103,0.01532821,0.001028688,0.0002776334,0.001258684,0.0009082986,0.05160689,0.02185729,0.05479215,0.8517767,0.000357706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01248075,0.001208223,0.2484609,0.001967533,0.0003749473,0.0006430054,0.2797003,0.4317142,0.02345003],"genre_scores_gemma":[0.08237298,0.001384247,0.3533418,0.001398643,0.0002111112,0.002183255,0.4450262,0.1031375,0.0109442],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.9970085,"threshold_uncertainty_score":0.1934779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06283079410161505,"score_gpt":0.339123684800046,"score_spread":0.276292890698431,"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."}}