{"id":"W2094397390","doi":"10.1371/journal.pone.0102551","title":"Multi-Tissue Omics Analyses Reveal Molecular Regulatory Networks for Puberty in Composite Beef Cattle","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation; New Mexico State University; McMaster University; Colorado State University; U.S. Department of Agriculture","keywords":"Biology; Transcriptome; Genome-wide association study; Single-nucleotide polymorphism; Hypothalamic–pituitary–gonadal axis; Gene; Corpus luteum; Population; Brahman; Genetics; RNA-Seq; Beef cattle; Endocrinology; Internal medicine; Ovary; Gene expression; Breed; Genotype","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":[0.0005714197,0.0003586427,0.0006486826,0.001362639,0.0004132684,0.0009788213,0.0002003635,0.000230751,0.001008254],"category_scores_gemma":[0.0005780135,0.0002297077,0.0009553482,0.001606532,0.0002840628,0.0003295304,0.0004453591,0.0003182534,0.0001544848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003869979,"about_ca_system_score_gemma":0.0004198554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005538612,"about_ca_topic_score_gemma":0.008115749,"domain_scores_codex":[0.9996448,0.00005836182,0.00001737844,0.0001658175,0.00004225365,0.0000712966],"domain_scores_gemma":[0.9996057,0.0001783435,0.0001077726,0.00002716141,0.00004441488,0.00003659749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001104001,0.0001160439,0.5951993,0.0004791951,0.001599569,0.0004228073,0.000778564,0.01154625,0.3500622,0.0009926516,0.001199174,0.03650037],"study_design_scores_gemma":[0.0000108866,0.00008691852,0.9768732,0.00002389314,0.00031441,0.0001240383,0.0003865664,0.01685799,0.002753361,0.001105689,0.001444873,0.00001819602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860992,0.001641371,0.005535908,0.0001809329,0.00001155177,0.00001399805,0.005858211,0.00009856741,0.0005603022],"genre_scores_gemma":[0.9853472,0.0006156052,0.005054931,0.0001437099,0.00001866413,0.00003900501,0.008191269,0.00003239892,0.000557298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005538612,"threshold_uncertainty_score":0.01101273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363924126672453,"score_gpt":0.2692609958430178,"score_spread":0.2356217545762933,"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."}}