{"id":"W2153993617","doi":"10.1021/pr501305g","title":"Metabolomics of Four Biofluids from Dairy Cows: Potential Biomarkers for Milk Production and Quality","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Zhejiang University; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Metabolite; Rumen; Chemistry; Hay; Metabolome; Food science; Metabolomics; Metabolism; Lactation; Urine; Phenylalanine; Biochemistry; Biology; Amino acid; Animal science; Chromatography; Fermentation","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":[0.0002074208,0.0003841124,0.0003157107,0.000649074,0.0002465521,0.0003883113,0.0000940176,0.0003121634,0.0002307999],"category_scores_gemma":[0.0002222434,0.0001025697,0.000211473,0.0005421754,0.0001499539,0.0002358781,0.0002525053,0.0002186328,0.00005238064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050831,"about_ca_system_score_gemma":0.0002082553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212949,"about_ca_topic_score_gemma":0.001547641,"domain_scores_codex":[0.9999044,0.0000171129,0.000006737363,0.00002839851,0.00002864085,0.00001463725],"domain_scores_gemma":[0.9999045,0.00001746375,0.0000378472,0.000003743165,0.00002147574,0.0000149515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006701503,0.00002404496,0.01812005,0.00007809037,0.00005584775,0.00005577568,0.00004868299,0.00006248171,0.9747577,0.00001744873,0.00001964899,0.006090083],"study_design_scores_gemma":[0.00003150367,0.000800906,0.5143955,0.00004162905,0.0002583553,0.0006386128,0.0004168751,0.00244406,0.4788014,0.0001866845,0.00194858,0.00003588778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996528,0.001785986,0.001123465,0.00002548226,0.000006589847,0.000007790223,0.0003869201,0.000007249703,0.0001287047],"genre_scores_gemma":[0.9938524,0.001055432,0.003656011,0.00005371415,0.000007641797,0.00001898219,0.0009764454,0.000005417213,0.0003738797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001212949,"threshold_uncertainty_score":0.002411783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1346671140390982,"score_gpt":0.3882261976198549,"score_spread":0.2535590835807566,"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."}}