{"id":"W2999447504","doi":"10.1016/j.rvsc.2020.01.001","title":"Mass-spec-based urinary metabotyping around parturition identifies screening biomarkers for subclinical mastitis in dairy cows","year":2020,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Genome Alberta; Alberta Livestock and Meat Agency","keywords":"Metabolite; Urine; Medicine; Subclinical infection; Phosphatidylethanolamine; Internal medicine; Urinary system; Endocrinology; Chemistry; Biochemistry; Phospholipid; Phosphatidylcholine","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":[],"consensus_categories":[],"category_scores_codex":[0.006359431,0.0001625415,0.0002698185,0.0001908206,0.0005395203,0.0002840972,0.0009925449,0.0001094352,0.0001451721],"category_scores_gemma":[0.00151793,0.00009449368,0.0001014826,0.002890997,0.001215064,0.0008016048,0.0003586614,0.0004238504,0.00002256364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900631,"about_ca_system_score_gemma":0.0001284797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001929421,"about_ca_topic_score_gemma":0.0001311801,"domain_scores_codex":[0.9961925,0.0006023801,0.0005134201,0.0008715944,0.0008990629,0.0009210559],"domain_scores_gemma":[0.9976165,0.001721938,0.00007353827,0.0001315231,0.0001523529,0.0003041629],"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":[0.002611653,0.0005359872,0.01345363,0.000366042,0.00001457481,0.000878956,0.0004074747,0.0005027163,0.9136305,0.003726561,0.0008973419,0.06297453],"study_design_scores_gemma":[0.004124765,0.01462396,0.7030674,0.001841223,0.00001538042,0.0001176081,0.008448034,0.1405011,0.006966017,0.01673295,0.1016783,0.001883252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889005,0.0003371247,0.0005850804,0.008727342,0.0001962607,0.0006657054,0.00007981415,0.00005000405,0.0004581698],"genre_scores_gemma":[0.9959995,0.0001077745,0.003147388,0.0003263708,0.0002187537,0.000111728,0.0000463432,0.000002130208,0.00004008132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066645,"threshold_uncertainty_score":0.4476955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3672202198636642,"score_gpt":0.4210374037254253,"score_spread":0.05381718386176104,"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."}}