{"id":"W4401767920","doi":"10.47328/ufvbbt.2024.193","title":"Implications of nutritional strategies during gestation and pre- weaning for skeletal muscle composition in bovines","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Gestation; Biology; Intramuscular fat; Animal science; Weaning; Marbled meat; Dry matter; Sire; Urea; Beef cattle; Pregnancy; Endocrinology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003870645,0.0001971141,0.0003207845,0.0003465348,0.0002827025,0.0005065736,0.0002700355,0.0003702911,0.000513953],"category_scores_gemma":[0.0003180102,0.0001733705,0.0001828128,0.0001610696,0.0003422525,0.000285944,0.0002479193,0.0003928169,0.0001123473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006134821,"about_ca_system_score_gemma":0.0003458694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137098,"about_ca_topic_score_gemma":0.008436029,"domain_scores_codex":[0.9997336,0.00007580082,0.00002046477,0.00008216684,0.0000346663,0.00005323767],"domain_scores_gemma":[0.9997219,0.00005759465,0.00008891048,0.00001691375,0.00002024869,0.00009432402],"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":[0.004688079,0.0003338385,0.0834801,0.0001434469,0.00004591016,0.0004038001,0.0005430145,0.0001656091,0.8944498,0.0001439957,0.00004496503,0.01555737],"study_design_scores_gemma":[0.00003112359,0.001980431,0.9797392,0.00003095737,0.00004179546,0.0002885766,0.000617174,0.0003362418,0.01603325,0.0001166484,0.0007721509,0.0000125317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976295,0.001695173,0.0002438698,0.00003759472,0.000004620215,0.000006830574,0.0000660583,0.000003210032,0.0003132414],"genre_scores_gemma":[0.9975665,0.0009696719,0.0005809958,0.00007330557,0.00000473994,0.00002461654,0.0001604958,0.000004136758,0.0006156414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137098,"threshold_uncertainty_score":0.006237686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541720884396766,"score_gpt":0.2759516883982041,"score_spread":0.2605344795542364,"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."}}