{"id":"W3161162371","doi":"10.7490/f1000research.1117638.1","title":"Personalized and graph genomes reveal missing signal in epigenomic data","year":2019,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; McGill University","funders":"","keywords":"Genome; Epigenomics; Reference genome; 1000 Genomes Project; Biology; Indel; Computational biology; Genetics; Human genome; Genomics; Gene; DNA methylation; Single-nucleotide polymorphism","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":[0.001173532,0.0003544555,0.0004387448,0.001574941,0.0002709396,0.0007213287,0.0004068164,0.0009215025,0.002172771],"category_scores_gemma":[0.005917736,0.0002982907,0.0005084746,0.001998526,0.0003394904,0.0008062081,0.000725014,0.0006289581,0.0004430812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003735251,"about_ca_system_score_gemma":0.0002304606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000855156,"about_ca_topic_score_gemma":0.001940964,"domain_scores_codex":[0.9988349,0.0002903687,0.0000632512,0.0004432664,0.0002652826,0.0001030028],"domain_scores_gemma":[0.9955757,0.002664909,0.0006739565,0.0007375322,0.0002320507,0.0001159288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003231448,0.0001809446,0.2486212,0.001257818,0.001399267,0.001261426,0.0008495738,0.03557296,0.5705872,0.009320879,0.005185751,0.1225315],"study_design_scores_gemma":[0.0001091891,0.0005760785,0.5633849,0.0001083165,0.0008736624,0.003789292,0.0006021531,0.1785302,0.1874035,0.02762752,0.03680483,0.0001903802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707388,0.0007850276,0.1100908,0.0002285382,0.00005860347,0.0000488894,0.0144372,0.002035415,0.001576633],"genre_scores_gemma":[0.8645258,0.0002825534,0.1082279,0.0002508817,0.00003222407,0.00007176546,0.0252676,0.0004571531,0.0008840669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002172771,"threshold_uncertainty_score":0.007268608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028830714823331,"score_gpt":0.3542101262783046,"score_spread":0.2939218191300713,"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."}}