{"id":"W4399983608","doi":"10.1111/jpn.14001","title":"Protein supplementation during mid‐gestation affects maternal voluntary feed intake, performance, digestibility, and uterine blood flow of beef cows","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Physiology and Animal Nutrition","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal de Lavras; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Gestation; Dry matter; Animal science; Biology; Beef cattle; Zebu; Weight gain; Pregnancy; Endocrinology; Body weight","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001975838,0.0001452565,0.0002698218,0.00005100319,0.0001165261,0.00002856568,0.00007823932,0.0000854559,0.00005416386],"category_scores_gemma":[0.00001978197,0.00007354584,0.00006353322,0.0001326157,0.0001867416,0.0005553826,0.00005899468,0.0002050979,0.000001122745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001667531,"about_ca_system_score_gemma":0.000008357788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166792,"about_ca_topic_score_gemma":0.00000439307,"domain_scores_codex":[0.9989898,0.0001162473,0.0003418682,0.0002689919,0.0001203489,0.0001627349],"domain_scores_gemma":[0.9995074,0.00007597184,0.0002171632,0.00003091725,0.0001131356,0.00005540585],"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":[0.002424368,0.0002087035,0.009366217,0.0005612234,0.00005654299,0.00001156555,0.00007535256,0.00000269395,0.9856558,0.00008217428,0.00002187884,0.001533406],"study_design_scores_gemma":[0.0004237452,0.009394079,0.7400314,0.0002329119,0.00003732336,0.0002031354,0.00007377424,0.00008989572,0.2485999,0.0008005676,0.00002647152,0.00008684494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998708,0.0004308166,8.994571e-7,0.0004203033,0.00008102829,0.0002800161,0.00005427119,0.00001623851,0.000008400777],"genre_scores_gemma":[0.9985024,0.00044595,0.0004201334,0.00001131718,0.000556013,0.00001184094,0.00004152169,0.000002152648,0.000008665811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.737056,"threshold_uncertainty_score":0.2999112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171972829844307,"score_gpt":0.2396089594677644,"score_spread":0.2278892311693214,"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."}}