{"id":"W4385606012","doi":"10.1101/2023.08.03.551309","title":"EpiVar Browser: advanced exploration of epigenomics data under controlled access","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Genome Canada; Alliance de recherche numérique du Canada; Howard Hughes Medical Institute; Ministry of Education, Culture, Sports, Science and Technology; McGill University","keywords":"Epigenomics; Computer science; Data exploration; World Wide Web; Biology; Data mining; Genetics; DNA methylation","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":[0.007767461,0.001913961,0.001335382,0.003348326,0.0009205526,0.003721222,0.003349701,0.001392848,0.05576559],"category_scores_gemma":[0.0127016,0.001417139,0.001125332,0.002927307,0.0006540215,0.00347562,0.005241287,0.002608659,0.02381001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000700011,"about_ca_system_score_gemma":0.002603689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422562,"about_ca_topic_score_gemma":0.009557485,"domain_scores_codex":[0.9984036,0.0004219786,0.0001716464,0.0003533671,0.0005205094,0.0001289607],"domain_scores_gemma":[0.9946635,0.002633322,0.0002451836,0.001275106,0.0006846089,0.0004981688],"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":[0.001270759,0.0001670452,0.007328288,0.001503263,0.0004194212,0.0008284117,0.001041058,0.003482356,0.01214,0.02056764,0.8935907,0.05766105],"study_design_scores_gemma":[0.0008863439,0.0001054754,0.01235533,0.0008464952,0.0002133727,0.001287546,0.0005572812,0.05419575,0.02551439,0.059202,0.8444816,0.0003543302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.009221974,0.001065,0.2403921,0.001680339,0.0003678712,0.0004303981,0.2947975,0.4364492,0.01559562],"genre_scores_gemma":[0.06293416,0.001515181,0.2602849,0.001027424,0.0002568458,0.001709182,0.5627468,0.09926084,0.01026476],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05576559,"threshold_uncertainty_score":0.1865545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06657732232028077,"score_gpt":0.3028269446132316,"score_spread":0.2362496222929509,"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."}}