{"id":"W4282980347","doi":"10.1016/j.livsci.2022.104995","title":"Transcriptome profile in the skeletal muscle of cattle progeny as a function of maternal protein supplementation during mid-gestation","year":2022,"lang":"en","type":"article","venue":"Livestock Science","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Ciência e Tecnologia de Ciência Animal; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Skeletal muscle; Offspring; Transcriptome; Gene; Gestation; Internal medicine; Endocrinology; Andrology; Cell biology; Genetics; Gene expression; Medicine; Pregnancy","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":[0.000095534,0.0001587995,0.0003267406,0.0002383309,0.0002412413,0.0003541793,0.00009456978,0.0002044687,0.001231342],"category_scores_gemma":[0.0001297807,0.0001536145,0.0001933512,0.0002242681,0.0001561285,0.0001286178,0.0001697605,0.0004021293,0.0002304614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368547,"about_ca_system_score_gemma":0.0002185344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416142,"about_ca_topic_score_gemma":0.007166276,"domain_scores_codex":[0.999911,0.000007861315,0.00000320219,0.00004012321,0.0000172373,0.00002053562],"domain_scores_gemma":[0.9999053,0.00002429542,0.00002055933,0.000005519539,0.00002029587,0.00002404179],"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":[0.001244493,0.00003004736,0.01358887,0.00005358355,0.00003642592,0.0001062896,0.0002375128,0.00004486724,0.981875,0.0000580266,0.00008683545,0.002638106],"study_design_scores_gemma":[0.00001472117,0.0004385761,0.9249621,0.00002166273,0.0001211756,0.0003178209,0.0007556176,0.000423773,0.07110362,0.00007947144,0.001745451,0.00001593775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968009,0.0007364952,0.0004074332,0.00003419827,0.00001175481,0.000004147498,0.001390208,0.000008605846,0.000606223],"genre_scores_gemma":[0.984897,0.0009443722,0.0008014997,0.0001331379,0.00001209884,0.00004969049,0.003303517,0.00002697367,0.009831823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003416142,"threshold_uncertainty_score":0.006792545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007481301769969767,"score_gpt":0.247161133045071,"score_spread":0.2396798312751012,"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."}}