{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004934119,0.0001091804,0.0003454598,0.0002266995,0.00008251602,0.00002697955,0.000204268,0.0001211781,0.000004191326],"category_scores_gemma":[0.002839984,0.0000866979,0.0001275967,0.0001932194,0.0002329957,0.00001291663,0.0001694445,0.0001827285,4.848167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002764588,"about_ca_system_score_gemma":0.0002558301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007035342,"about_ca_topic_score_gemma":0.00001452577,"domain_scores_codex":[0.9982345,0.0003029473,0.0004951777,0.0002375456,0.000477525,0.0002522961],"domain_scores_gemma":[0.9978582,0.00004378544,0.0002867317,0.0002243279,0.001439227,0.0001477785],"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":[0.001523462,0.00008517079,0.001616782,0.00006328125,0.0004147884,0.00000169115,0.00006359191,0.00000395394,0.9917741,0.00009014532,0.003305804,0.001057234],"study_design_scores_gemma":[0.001876198,0.001566551,0.006058857,0.00003552339,0.00007064468,0.00003091964,0.0009407015,0.00002971569,0.9730366,0.003002795,0.01319716,0.0001542987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986055,0.008656855,0.003339863,0.001015954,0.0003254911,0.0004887526,0.0000627448,0.000001693367,0.00005363847],"genre_scores_gemma":[0.9769608,0.002422618,0.01958266,0.00001055506,0.0007770353,0.00002215959,0.00001181408,0.00001634686,0.0001959667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01873746,"threshold_uncertainty_score":0.3535438,"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."}}