{"id":"W2471042400","doi":"10.1039/c6mb00290k","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 2. Label-free relative quantitative proteomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; Scottish Government; Rural and Environment Science and Analytical Services Division; Moredun Foundation; Wellcome Trust; Wellcome","keywords":"Streptococcus uberis; Mastitis; Proteomics; Streptococcus; Biology; Omics; Microbiology; Streptococcaceae; Computational biology; Bacteria; Bioinformatics; Genetics","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":[0.0005084307,0.0006652739,0.0005325794,0.0007498015,0.0003693679,0.0008208167,0.0002919935,0.0006760976,0.0007185432],"category_scores_gemma":[0.0001836227,0.0002332768,0.0005438969,0.0005648626,0.0003714827,0.0003530777,0.0003749942,0.0006671574,0.0002607698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154848,"about_ca_system_score_gemma":0.0003881457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008740412,"about_ca_topic_score_gemma":0.001290476,"domain_scores_codex":[0.9995257,0.00005285838,0.00003182934,0.0001391674,0.0001741814,0.00007625324],"domain_scores_gemma":[0.9998667,0.00001295293,0.00004908903,0.00001228269,0.00002854553,0.00003047694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003001137,0.00003720958,0.0004909998,0.00006134425,0.000009929186,0.00002664793,0.00001752213,0.00004418086,0.9978622,0.00002838533,0.00002781089,0.0010937],"study_design_scores_gemma":[0.00005325582,0.001623444,0.07392894,0.00004052583,0.0001411736,0.000731445,0.000171572,0.003723457,0.9136524,0.0001699789,0.005728115,0.00003563808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797263,0.003368867,0.01052178,0.0002280361,0.00007850264,0.0001483466,0.004613964,0.0001601921,0.001154146],"genre_scores_gemma":[0.9414049,0.003778748,0.03676133,0.00057838,0.0000634126,0.0005740515,0.01200904,0.00009461273,0.00473552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008740412,"threshold_uncertainty_score":0.003740191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0356403917616808,"score_gpt":0.2579494334120498,"score_spread":0.222309041650369,"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."}}