{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001383503,0.0001887259,0.0004811975,0.00005988339,0.00005671948,0.00004031859,0.000383174,0.0001388462,0.0001596948],"category_scores_gemma":[0.00008332253,0.00008966722,0.00009825076,0.001352952,0.00006603111,0.00008600893,0.0001040192,0.0001377523,0.000002369168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473137,"about_ca_system_score_gemma":0.00001557357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003749896,"about_ca_topic_score_gemma":0.002594566,"domain_scores_codex":[0.9985735,0.0001615554,0.0003770906,0.0003811273,0.0002903618,0.0002163595],"domain_scores_gemma":[0.9993894,0.0001145381,0.0001776156,0.0001252644,0.00006462412,0.0001285717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001461784,0.00006913501,0.8688096,0.00001866878,0.0004577896,0.00003086578,0.001309253,0.001787133,0.09794572,0.00001491735,0.0004581708,0.02895258],"study_design_scores_gemma":[0.0003329881,0.0003526196,0.9860503,0.00001281527,0.0001860363,1.409338e-7,0.000412075,0.002872625,0.003957219,0.0005142704,0.005048001,0.0002608952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914239,0.001703688,0.005265255,0.0006234481,0.0001348766,0.0002445222,0.000356678,0.00003132417,0.0002162963],"genre_scores_gemma":[0.9899583,0.0004081514,0.00867016,0.0002493984,0.0001365377,0.00001104497,0.0005312645,0.000002145915,0.00003293335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172407,"threshold_uncertainty_score":0.3656523,"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."}}