{"id":"W3033136034","doi":"10.3390/metabo10060233","title":"The Bovine Metabolome","year":2020,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Alberta Innovates; Alberta Innovates - Technology Futures; Alberta Livestock and Meat Agency; Agriculture Funding Consortium; Genome Canada","keywords":"Metabolome; Computational biology; Biology; Metabolomics; Bioinformatics","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":[0.0005166686,0.000609485,0.0006816472,0.002348303,0.0005625002,0.001208157,0.0003732912,0.0006081049,0.004604582],"category_scores_gemma":[0.0007236273,0.0001809741,0.0004904844,0.00309128,0.0001662206,0.0004386688,0.0007662202,0.0004530436,0.002480863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006194814,"about_ca_system_score_gemma":0.0006333535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004785692,"about_ca_topic_score_gemma":0.006916308,"domain_scores_codex":[0.9994784,0.00007006074,0.00003530362,0.000210831,0.0001441768,0.00006126749],"domain_scores_gemma":[0.9995952,0.000075016,0.0001216812,0.00004573674,0.0001175823,0.00004471216],"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":[0.002178055,0.0001520391,0.0565937,0.002388727,0.0004386741,0.0006601438,0.0003637648,0.001028623,0.7554024,0.001048195,0.01414682,0.1655988],"study_design_scores_gemma":[0.00009451429,0.0009576781,0.5248372,0.0005423554,0.0009435368,0.003595081,0.0003980332,0.004074252,0.1176546,0.002977482,0.3437754,0.0001498584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4989711,0.05646748,0.0280509,0.001343261,0.0002276602,0.0003748723,0.392394,0.001028079,0.0211427],"genre_scores_gemma":[0.5127786,0.01759897,0.05266256,0.001434507,0.0001450094,0.0004852675,0.4048234,0.000275882,0.009795772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004785692,"threshold_uncertainty_score":0.01540387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299639804873454,"score_gpt":0.2335748527713652,"score_spread":0.2205784547226307,"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."}}