{"id":"W3035587820","doi":"10.1007/s11306-020-01693-z","title":"Serum metabolomics identifies metabolite panels that differentiate lame dairy cows from healthy ones","year":2020,"lang":"en","type":"article","venue":"Metabolomics","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Alberta Livestock and Meat Agency","keywords":"Lameness; Metabolite; Metabolomics; Chemistry; Sphingomyelin; Valine; Endocrinology; Internal medicine; Biochemistry; Medicine; Chromatography; Amino acid; Cholesterol; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004586787,0.0003486074,0.0003620243,0.0008976138,0.0002825214,0.0006597215,0.0001314822,0.00051812,0.0008336508],"category_scores_gemma":[0.0006768742,0.0001341669,0.0002034867,0.0003607603,0.0002569917,0.0001913461,0.0002930597,0.0004135609,0.000181136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910835,"about_ca_system_score_gemma":0.0001926833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146083,"about_ca_topic_score_gemma":0.002545704,"domain_scores_codex":[0.9997926,0.00005814583,0.0000141816,0.0000416125,0.00004120103,0.00005222289],"domain_scores_gemma":[0.9997254,0.00006883977,0.00008481985,0.00001443081,0.00005074484,0.00005568683],"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":[0.005571683,0.0003447385,0.4731105,0.0001574688,0.0002400465,0.0005931283,0.0004315059,0.0001523593,0.4870942,0.000148403,0.0006299356,0.03152606],"study_design_scores_gemma":[0.00003929917,0.001308593,0.9482368,0.00002659239,0.0001269262,0.0008769701,0.0006464359,0.00082536,0.04649834,0.0001635956,0.001237525,0.00001349603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971914,0.000852894,0.0008690165,0.0001328296,0.00001343255,0.00001650637,0.0003225546,0.00002212577,0.0005792341],"genre_scores_gemma":[0.9975188,0.0002416663,0.001088499,0.0002102906,0.00001071979,0.00001581229,0.0004258521,0.000006912334,0.0004814532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146083,"threshold_uncertainty_score":0.002904713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142417117595962,"score_gpt":0.3216082203349165,"score_spread":0.2073665085753203,"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."}}