{"id":"W6920640086","doi":"10.6084/m9.figshare.12368156.v1","title":"Additional file 1 of Personalized and graph genomes reveal missing signal in epigenomic data","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Graph; Epigenomics; Genome; De Bruijn graph; SIGNAL (programming language); Missing data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001623427,0.001583668,0.001647778,0.003060666,0.001291233,0.002149554,0.002318636,0.001413257,0.7246888],"category_scores_gemma":[0.01506738,0.0008278366,0.001105615,0.004933208,0.0003888497,0.001908629,0.001555768,0.001603327,0.181128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009925081,"about_ca_system_score_gemma":0.001923634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006661771,"about_ca_topic_score_gemma":0.01158871,"domain_scores_codex":[0.9991417,0.0001225106,0.00007301562,0.0003302991,0.0001918607,0.0001405542],"domain_scores_gemma":[0.988794,0.00823696,0.0005556089,0.001010595,0.000901267,0.0005015366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002999806,0.00007133826,0.002815757,0.002442376,0.000100008,0.0001062108,0.00008879375,0.0006590482,0.001212472,0.001336142,0.9843358,0.006532077],"study_design_scores_gemma":[0.001744811,0.0001643687,0.02333808,0.00122553,0.0002669771,0.0006011983,0.0003115019,0.002244215,0.003952695,0.01175158,0.9542216,0.0001774937],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001523869,0.00001828155,0.0004531325,0.00004634948,0.00002761045,0.00002041396,0.9978301,0.0008504683,0.0006013195],"genre_scores_gemma":[0.002968176,0.00007211488,0.003885959,0.000280693,0.00004432969,0.0002727384,0.988123,0.001861469,0.002491556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7246888,"threshold_uncertainty_score":0.392698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223602759939306,"score_gpt":0.2329588770535384,"score_spread":0.2007228494541454,"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."}}