{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002475714,0.0003814248,0.0003596461,0.0007874074,0.0002879976,0.0005273882,0.000268822,0.0002279031,0.0003624594],"category_scores_gemma":[0.001644058,0.0001712553,0.0005628394,0.0005577176,0.0002181052,0.0002834079,0.0003653825,0.0002287831,0.00007037389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282515,"about_ca_system_score_gemma":0.0004229154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467304,"about_ca_topic_score_gemma":0.008617679,"domain_scores_codex":[0.9994953,0.000214759,0.00002575102,0.0001463143,0.00006262941,0.00005519194],"domain_scores_gemma":[0.9993396,0.0004042031,0.00008576275,0.00005744922,0.00008144315,0.00003144723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008644694,0.0002382872,0.725769,0.0001690906,0.00143706,0.0008740433,0.0007770152,0.03325064,0.1089141,0.0007828175,0.0004072882,0.126516],"study_design_scores_gemma":[0.00004481162,0.0001682829,0.9012341,0.0000329777,0.0006723384,0.0002338653,0.0002025337,0.09049854,0.005173595,0.0004858759,0.001217365,0.00003562252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895858,0.0003217437,0.009678251,0.00003957461,0.000004360634,0.00000843437,0.0001208452,0.00004297058,0.0001979616],"genre_scores_gemma":[0.9891349,0.0001621054,0.009830911,0.00003427518,0.0000109246,0.00001702073,0.0006303157,0.00001154995,0.0001679093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00467304,"threshold_uncertainty_score":0.01309294,"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."}}