{"id":"W4415283932","doi":"10.3390/vetsci12100996","title":"Genomic Selection for Economic Traits in Inner Mongolia Cashmere Goats by Integrating GWAS Prior Information","year":2025,"lang":"en","type":"article","venue":"Veterinary Sciences","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Department of Science and Technology of Inner Mongolia; China Agricultural Research System","keywords":"Cashmere goat; Genome-wide association study; Heritability; Genetic association; Selection (genetic algorithm); Genomic selection; Trait; Genetic correlation","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":[0.0001818398,0.00009651315,0.00008290547,0.00006497323,0.000137581,0.00004724719,0.0001863828,0.00007822693,0.000008642818],"category_scores_gemma":[0.00002496867,0.00009026306,0.00003135552,0.00008915078,0.00009317228,0.0000235955,0.00004630471,0.00004522983,0.000004847037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000286733,"about_ca_system_score_gemma":0.0001457775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005992664,"about_ca_topic_score_gemma":0.00006456918,"domain_scores_codex":[0.9993501,0.00002588872,0.0002020312,0.0002074202,0.00003781582,0.0001767758],"domain_scores_gemma":[0.9998209,0.00001567858,0.00005953771,0.00006357855,0.0000165233,0.0000238118],"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":[0.00029588,0.0000818316,0.0213399,0.0001224796,0.0000412014,1.510089e-7,0.0009454475,0.01078485,0.8102919,0.006434207,0.01043895,0.1392232],"study_design_scores_gemma":[0.003254285,0.009245421,0.6268445,0.0001561076,0.00003979376,0.00007769813,0.002814313,0.01358819,0.09265237,0.006813082,0.2432316,0.001282658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921535,0.0002021483,0.005383881,0.0001080951,0.0002338148,0.0002560455,0.00002512763,0.000008122214,0.001629294],"genre_scores_gemma":[0.98737,0.00001432956,0.01204495,0.000151201,0.00004512053,0.00005175274,0.00002994055,0.000003270083,0.0002894079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7176395,"threshold_uncertainty_score":0.3680821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243976720367158,"score_gpt":0.2708971812370122,"score_spread":0.2584574140333406,"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."}}