{"id":"W3138996175","doi":"10.1101/2021.03.16.435708","title":"DNA Methylation Networks Underlying Mammalian Traits","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"LGL (Canada); University of Manitoba; Fisheries and Oceans Canada","funders":"Paul G. Allen Frontiers Group","keywords":"Biology; Phylogenetic tree; Epigenetics; DNA methylation; Evolutionary biology; Genetics; Methylation; DNA; Computational biology; Gene; Gene expression","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":[0.0001769038,0.0001290264,0.0002490715,0.0006288463,0.0002025848,0.0003258901,0.0001789797,0.0002001949,0.001105597],"category_scores_gemma":[0.0005448054,0.0001511745,0.0001559074,0.0006180975,0.0003306949,0.0002464468,0.0003634584,0.0002180596,0.0002158864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002545464,"about_ca_system_score_gemma":0.0002107462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507532,"about_ca_topic_score_gemma":0.002274955,"domain_scores_codex":[0.9998463,0.00002133181,0.000005841555,0.00008416497,0.00002099859,0.00002137865],"domain_scores_gemma":[0.9997864,0.00005176825,0.00008332219,0.00002393065,0.00003467531,0.00001993814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002950426,0.00001516154,0.1484727,0.0003738046,0.0003040772,0.0001976563,0.0007324914,0.005855225,0.7688909,0.007242066,0.0005082591,0.06711266],"study_design_scores_gemma":[0.00001330126,0.0001118575,0.885554,0.00004469394,0.0001961244,0.0004040305,0.0002547115,0.01542525,0.07082343,0.01858938,0.008539866,0.0000433994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790799,0.002404281,0.01345348,0.0001286333,0.00000569172,0.00001016428,0.001606261,0.0001410746,0.003170439],"genre_scores_gemma":[0.9956851,0.000550941,0.002443734,0.00003284542,0.000007443334,0.000009071162,0.0006591,0.00001565971,0.0005960716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001507532,"threshold_uncertainty_score":0.003698647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205455247013172,"score_gpt":0.2489205231996254,"score_spread":0.2268659707294937,"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."}}