{"id":"W4394172823","doi":"10.6084/m9.figshare.21510505","title":"Additional file 10 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; Computational biology; Bioinformatics; Streptococcus; Microbiology; Genetics; DNA; Gene; Bacteria; Gene expression; Virology","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":[0.001070944,0.001934916,0.001719284,0.002293598,0.0009564314,0.002021434,0.002236643,0.002028432,0.3651514],"category_scores_gemma":[0.007345455,0.0006286315,0.001681023,0.003368344,0.0003430842,0.001159107,0.001541265,0.001450758,0.08360165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149947,"about_ca_system_score_gemma":0.001887416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320058,"about_ca_topic_score_gemma":0.02649252,"domain_scores_codex":[0.9993023,0.00009342881,0.00008721838,0.0002766539,0.0001207577,0.0001196686],"domain_scores_gemma":[0.9968421,0.001876897,0.0002600548,0.0003050511,0.0005065426,0.0002092969],"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":[0.0003899076,0.00009270219,0.005165181,0.004103033,0.0001829457,0.00009654204,0.00007198925,0.0007477681,0.0007663307,0.000479819,0.9836416,0.004262174],"study_design_scores_gemma":[0.002863999,0.0001812867,0.03608624,0.001896345,0.0003924656,0.0003547638,0.0002856306,0.001891296,0.00198359,0.004471491,0.9494478,0.0001451467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007843749,0.00001814851,0.00003680518,0.0000186947,0.000006866954,0.000007441912,0.9996275,0.00009735354,0.0001087213],"genre_scores_gemma":[0.0008898965,0.00003791758,0.0004499867,0.00008010282,0.000008358838,0.0001445841,0.9977149,0.00009600127,0.0005782924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3651514,"threshold_uncertainty_score":0.9055345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499317116259718,"score_gpt":0.2825428851374074,"score_spread":0.2275497139748102,"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."}}