{"id":"W4415533720","doi":"10.1016/j.animal.2025.101691","title":"Energy metabolism and ruminal fermentation of prolific ewes in response to scheduled increase, relative to lambing, of dietary energy source and concentration","year":2025,"lang":"en","type":"article","venue":"animal","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Hyacinthe; Université de Montréal; University of Guelph; Hôpital d'Youville de Sherbrooke; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","keywords":"Silage; NEFA; Rumen; Dry matter; Crossbreed; Energy source; Energy metabolism; Energy requirement","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":[0.0001005856,0.00006376485,0.0001493239,0.00003351059,0.00003835148,0.000007093503,0.00003661173,0.000040297,0.00001064802],"category_scores_gemma":[0.00008695676,0.0000329787,0.00001655514,0.0002422621,0.00006278097,0.00007708914,0.0000421181,0.00002350643,2.359609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007357796,"about_ca_system_score_gemma":0.00001231864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008766073,"about_ca_topic_score_gemma":0.0002396171,"domain_scores_codex":[0.9993712,0.000163714,0.0001605927,0.0001587793,0.00005489002,0.00009087013],"domain_scores_gemma":[0.9997094,0.0001231851,0.00004891972,0.00001835916,0.00005041711,0.00004973414],"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":[0.002873585,0.00006638763,0.009554439,0.000004939998,0.000006071789,6.006641e-7,0.0001507074,0.000002050785,0.97375,0.007427157,0.00004439589,0.006119657],"study_design_scores_gemma":[0.0002591655,0.0006306811,0.9295305,0.00003996633,0.000007861433,8.061548e-7,0.0003772281,0.00005603744,0.06744462,0.0006205958,0.00097838,0.00005412979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982961,0.0002574619,0.00001842044,0.001189991,0.00001083869,0.00008177992,0.00001422005,0.000005191178,0.000125974],"genre_scores_gemma":[0.9994112,0.00005508108,0.0001038336,0.0002842935,0.00001283549,0.0000158312,0.00001810003,3.944777e-7,0.00009849218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9199761,"threshold_uncertainty_score":0.1344832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128471190739295,"score_gpt":0.2401674043188534,"score_spread":0.2288826924114605,"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."}}