{"id":"W4405726347","doi":"10.3390/genes15121637","title":"Genome-Wide Association Analysis of Growth Traits in Hu Sheep","year":2024,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Science and Technology Major Project; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Chinese Academy of Sciences; China Agricultural University","keywords":"Candidate gene; Biology; Genome-wide association study; Genotyping; SNP genotyping; Breed; Genetics; Selective breeding; Genetic association; Gene; SNP; Single-nucleotide polymorphism; Biotechnology; 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":[0.0006591192,0.0001390523,0.0002941343,0.0005399025,0.0002026841,0.0002257293,0.0001476341,0.0002377892,0.0007839029],"category_scores_gemma":[0.0008307874,0.0001043497,0.0003160555,0.0006442592,0.000143383,0.0000942287,0.0002354061,0.0002320507,0.00007888315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007264718,"about_ca_system_score_gemma":0.0001296902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771374,"about_ca_topic_score_gemma":0.003161,"domain_scores_codex":[0.9997018,0.00009808369,0.0000266923,0.0001045878,0.00004277361,0.00002602218],"domain_scores_gemma":[0.9994673,0.0002399317,0.0001239596,0.00005403704,0.00005414222,0.00006074951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004605761,0.0000355272,0.9849198,0.0000425814,0.000343585,0.0003082863,0.00009683671,0.0001419969,0.008829496,0.00004689287,0.0001881769,0.004586268],"study_design_scores_gemma":[0.000008222839,0.00004123215,0.9988546,0.00000322544,0.00009129258,0.0001794452,0.00002914163,0.0003783168,0.000218131,0.00002003616,0.0001743025,0.000001940356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988396,0.0003027115,0.0004089048,0.00002122235,0.00000469071,0.000003350116,0.0002394417,0.000006172546,0.0001741077],"genre_scores_gemma":[0.9983395,0.0001207387,0.0006876769,0.00002730714,0.000008799443,0.00001270916,0.0006023999,0.000003926268,0.0001968427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001771374,"threshold_uncertainty_score":0.003522158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007281255387413162,"score_gpt":0.2292351128703639,"score_spread":0.2219538574829507,"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."}}