{"id":"W2475257508","doi":"10.1039/c6mb00289g","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 3. Untargeted metabolomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Biotechnology and Biological Sciences Research Council; University of Glasgow; Zoetis; Scottish Government; Rural and Environment Science and Analytical Services Division; Wellcome Trust; Wellcome","keywords":"Streptococcus uberis; Metabolomics; Metabolite; Mastitis; Biology; Metabolome; Udder; Biochemistry; Microbiology; Streptococcus; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992943,0.0002017427,0.0003833038,0.00002877336,0.00004725663,0.00001882183,0.0005245287,0.0001474376,0.00007577346],"category_scores_gemma":[0.00006165479,0.00006953118,0.0001308772,0.0002893869,0.0001940516,0.0001119889,0.0001201276,0.00009271907,0.000003894763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004334764,"about_ca_system_score_gemma":0.00002967511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007186678,"about_ca_topic_score_gemma":0.001198691,"domain_scores_codex":[0.9982954,0.0002562866,0.0006253225,0.0003235283,0.0002377375,0.0002617209],"domain_scores_gemma":[0.9992836,0.00007696846,0.0002520749,0.0002023239,0.0001079568,0.00007705029],"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":[0.0000987958,0.0001458884,0.001945328,0.00001495239,0.0000181289,0.000003817966,0.0001223882,0.0001098085,0.9942103,0.00203649,0.00006807037,0.001226037],"study_design_scores_gemma":[0.0004916638,0.0003139219,0.0006691305,0.0001117464,0.0000151758,0.000003737469,0.0008723117,0.00280383,0.99351,0.0002216728,0.0007781815,0.0002086037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973031,0.0005695829,0.0004306044,0.0002302637,0.0001826525,0.0004400807,0.0007056009,0.00002794682,0.0001101704],"genre_scores_gemma":[0.9993585,0.00004881243,0.0002887649,0.00009240265,0.00004392451,0.00003529057,0.00007821309,0.000003359605,0.00005074075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002694021,"threshold_uncertainty_score":0.2835399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135745875960163,"score_gpt":0.2312251505047735,"score_spread":0.2098676917451718,"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."}}