{"id":"W3092778848","doi":"10.3389/fgene.2020.550515","title":"Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows With Staphylococcus aureus Induced Mastitis","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Ministry of Education of the People's Republic of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; Innovative Research Group Project of the National Natural Science Foundation of China; Government of Jiangsu Province; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"DNA methylation; Biology; Mastitis; Gene; Genetics; Methylation; Staphylococcus aureus; Epigenetics; Differentially methylated regions; Gene expression; Microbiology; Bacteria","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":[0.0001099815,0.0001181766,0.0001513001,0.0003848884,0.0002820645,0.0001266679,0.0001029329,0.0001288453,0.001012996],"category_scores_gemma":[0.00009595727,0.00009567649,0.0001717858,0.0003684563,0.0001199321,0.00004667533,0.0001562508,0.0001355989,0.00005773968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151086,"about_ca_system_score_gemma":0.0001988937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006513109,"about_ca_topic_score_gemma":0.0129724,"domain_scores_codex":[0.9999371,0.000005448347,0.000004371149,0.000022292,0.00001291366,0.00001789201],"domain_scores_gemma":[0.9999549,0.000008214369,0.00001503403,0.000004479123,0.0000081977,0.000009080217],"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":[0.0009643305,0.00003491655,0.1108864,0.00006392902,0.0001058723,0.0002545363,0.0003800913,0.00006639286,0.8775158,0.00005475058,0.0001549319,0.00951791],"study_design_scores_gemma":[0.000009368244,0.0001018458,0.976283,0.000002904018,0.00009982706,0.0003814614,0.0002026827,0.0001653658,0.02206781,0.00003597587,0.0006449978,0.000004670862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988776,0.0002311233,0.000284618,0.00002626846,0.000002379871,0.000003853016,0.0003557427,0.000004515208,0.0002139036],"genre_scores_gemma":[0.9979926,0.0001832607,0.0002797108,0.00003741933,0.000002564163,0.00001018901,0.0007551905,0.000003156456,0.0007358433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006513109,"threshold_uncertainty_score":0.01295042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906529962109406,"score_gpt":0.2234403472135423,"score_spread":0.2043750475924482,"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."}}