{"id":"W4394537305","doi":"10.6084/m9.figshare.21510556","title":"Additional file 9 of Methylome and transcriptome data integration reveals potential roles of DNA methylation and candidate biomarkers of cow Streptococcus uberis subclinical mastitis","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; McGill University; Agriculture and Agri-Food Canada","funders":"","keywords":"DNA methylation; Streptococcus uberis; Transcriptome; Biology; Methylation; Subclinical infection; Genetics; Computational biology; Bioinformatics; Streptococcus; DNA; Gene; Virology; Bacteria; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001129641,0.001566296,0.001517778,0.00196003,0.0008176476,0.001899732,0.002053577,0.001885197,0.3891093],"category_scores_gemma":[0.0093565,0.0005755468,0.00151822,0.002905096,0.0003044919,0.001130492,0.001401566,0.001215585,0.0738754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014663,"about_ca_system_score_gemma":0.001646959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261014,"about_ca_topic_score_gemma":0.02482893,"domain_scores_codex":[0.9993389,0.00009111917,0.00008983183,0.0002614237,0.0001107025,0.0001080022],"domain_scores_gemma":[0.9963876,0.002272598,0.0002850129,0.000343178,0.0005050782,0.0002065469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004410734,0.00009605219,0.007630847,0.004330326,0.0002162234,0.00009946708,0.00007183817,0.0008595566,0.0006004563,0.0004892361,0.9801592,0.005005773],"study_design_scores_gemma":[0.003833738,0.0002201034,0.05034382,0.002390561,0.0005322031,0.0003869328,0.0003245862,0.002152853,0.001807374,0.004955638,0.9329049,0.0001471943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008890282,0.00001542583,0.00003451335,0.00001984271,0.000005701173,0.000007418123,0.9996597,0.00007042108,0.00009810388],"genre_scores_gemma":[0.001349948,0.0000415182,0.0005058708,0.00009386945,0.00001010195,0.0001852812,0.9969908,0.00008999778,0.000732676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3891093,"threshold_uncertainty_score":0.8713615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233566788183024,"score_gpt":0.2780490413444126,"score_spread":0.2257133734625823,"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."}}