{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003389474,0.0008394772,0.001755065,0.0001332602,0.0005314531,0.000253371,0.0008381867,0.0003052678,0.0008121693],"category_scores_gemma":[0.0001505068,0.0007504912,0.0006224475,0.0003648232,0.0002782899,0.000612209,0.0008519528,0.0006893047,0.0008582186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900186,"about_ca_system_score_gemma":0.00006827273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759768,"about_ca_topic_score_gemma":0.00003210134,"domain_scores_codex":[0.9957377,0.0004386315,0.0009762339,0.001217698,0.0006175897,0.001012094],"domain_scores_gemma":[0.9979147,0.0002139037,0.0004632611,0.0007787813,0.0001695196,0.0004598353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01046043,0.001276704,0.4872421,0.0005488043,0.005335611,0.0008203764,0.02579494,0.00003296371,0.4235276,0.01430484,0.008403123,0.02225245],"study_design_scores_gemma":[0.002014854,0.0003375676,0.9204419,0.00001907531,0.001577293,0.00002176629,0.002761869,0.0002268218,0.01188426,0.001081309,0.05851541,0.001117881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754193,0.01354511,0.00115972,0.003453879,0.001906937,0.000601259,0.00293717,0.0005784653,0.0003981713],"genre_scores_gemma":[0.9896316,0.004309401,0.001343176,0.003053605,0.0008053047,0.00009107398,0.0003323641,0.000157294,0.0002762074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4331998,"threshold_uncertainty_score":0.9999197,"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."}}