{"id":"W2461695554","doi":"10.1039/c6mb00239k","title":"Mastitomics, the integrated omics of bovine milk in an experimental model of <i>Streptococcus uberis</i> mastitis: 1. High abundance proteins, acute phase proteins and peptidomics","year":2016,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; Biotechnology and Biological Sciences Research Council; University of Glasgow; Zoetis; Scottish Government; Rural and Environment Science and Analytical Services Division; Wellcome Trust; McGill University; Wellcome","keywords":"Streptococcus uberis; Lactoferrin; Mastitis; Serum amyloid A; Acute-phase protein; Proteomics; Haptoglobin; Biology; Biomarker; Peptide; Microbiology; Immunology; Andrology; Biochemistry; Bacteria; Streptococcus; Inflammation; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000404796,0.0006510172,0.0005279907,0.0008274245,0.0003082702,0.0007434294,0.0002032895,0.0006321914,0.0005219566],"category_scores_gemma":[0.0002003918,0.0001923867,0.0004559917,0.0004860195,0.0003565001,0.0002870445,0.0003509888,0.0005483151,0.0001900284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237391,"about_ca_system_score_gemma":0.00032086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021468,"about_ca_topic_score_gemma":0.001708284,"domain_scores_codex":[0.9996188,0.00005804614,0.00002988939,0.00009754665,0.0001357834,0.0000599907],"domain_scores_gemma":[0.9998708,0.00001371965,0.00004883564,0.00001104035,0.00002540622,0.0000301799],"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":[0.0003797713,0.00005645313,0.001877149,0.00007637233,0.00001339181,0.00006115086,0.00002546299,0.00003948708,0.9954736,0.00002492923,0.00002698711,0.00194526],"study_design_scores_gemma":[0.00003740875,0.002929468,0.1058808,0.00004747789,0.0001569583,0.00113173,0.0002348004,0.001564046,0.8824981,0.0001463193,0.005346886,0.00002592395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895976,0.002833955,0.004301687,0.0001671908,0.00004713585,0.0001332454,0.002091764,0.00007842363,0.0007490364],"genre_scores_gemma":[0.97051,0.003177777,0.01823542,0.000394289,0.00004196638,0.000277485,0.004976655,0.00003290692,0.002353479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001021468,"threshold_uncertainty_score":0.003074467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625143707704013,"score_gpt":0.242606737785758,"score_spread":0.2263553007087179,"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."}}