{"id":"W4296402749","doi":"","title":"Efficiency of utilization of amino acid increased with energy supply at low and high metabolizable protein supply in dairy cows","year":2018,"lang":"en","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Energy supply; Dairy cattle; Low energy; Amino acid; Supply management; Chemistry; Animal science; Environmental science; Food science; Energy (signal processing); Biochemistry; Biology; Mathematics; Physics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715077,0.0002343516,0.0005390474,0.0005280182,0.0002725337,0.0009752296,0.0002733383,0.0005158025,0.00128137],"category_scores_gemma":[0.0007174368,0.0002378644,0.0003120063,0.0005057708,0.0003621167,0.0004071629,0.0003356606,0.0003844934,0.0003302934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907582,"about_ca_system_score_gemma":0.0003309866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798309,"about_ca_topic_score_gemma":0.001282743,"domain_scores_codex":[0.9997205,0.00005543878,0.00001613673,0.0001108478,0.00003380377,0.00006326418],"domain_scores_gemma":[0.9993675,0.0002800775,0.0001361536,0.00005013216,0.00006165772,0.0001044493],"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":[0.01750473,0.0002405603,0.1491262,0.0003588196,0.0003603752,0.000165657,0.0003903849,0.001173488,0.8097512,0.0002090854,0.0002018593,0.02051774],"study_design_scores_gemma":[0.00008607565,0.00143728,0.8297527,0.00002679743,0.0002112725,0.0003765493,0.0004021219,0.004884079,0.1614129,0.0004152967,0.0009639432,0.00003100387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989759,0.0004265905,0.0003459147,0.00001474546,0.000001958032,0.000001572255,0.0001263378,0.000004535081,0.0001024754],"genre_scores_gemma":[0.9976967,0.0002507228,0.0006106185,0.00002674922,0.000005122673,0.00001061778,0.0004739142,0.0000152461,0.0009103122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798309,"threshold_uncertainty_score":0.004286647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596585680024556,"score_gpt":0.2244059375368198,"score_spread":0.2084400807365742,"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."}}