{"id":"W4414240706","doi":"10.3390/genes16091097","title":"Correlation Analysis of CXCL10, FOS, HOXC13, and WNT4 Gene Polymorphisms with Key Economic Traits—Initial Population Screening for Jiangnan Cashmere Goats","year":2025,"lang":"en","type":"article","venue":"Genes","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China; Natural Science Foundation of Xinjiang; Xinjiang Normal University; Natural Science Foundation of Xinjiang Province","keywords":"Cashmere goat; Breed; Single-nucleotide polymorphism; Gene; Population; Polymorphism (computer science); Major gene; SNP; Quantitative trait locus","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":[0.0008944443,0.0003719589,0.0003241591,0.0009958047,0.0004558138,0.0002654896,0.0002554941,0.0002479654,0.001038635],"category_scores_gemma":[0.0006783091,0.0001924729,0.0004256447,0.0004924365,0.0003581567,0.0001658687,0.0002033409,0.0001969629,0.0001084219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303416,"about_ca_system_score_gemma":0.0003378055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004135052,"about_ca_topic_score_gemma":0.005483002,"domain_scores_codex":[0.9996923,0.00005960196,0.00002746556,0.0001191118,0.00005852127,0.00004311172],"domain_scores_gemma":[0.9995928,0.0001043066,0.0001035219,0.00003786485,0.00008782349,0.000073644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003582007,0.00009161263,0.9832765,0.00002028803,0.00008885347,0.0003533575,0.0003519105,0.00009603229,0.01244178,0.00003529019,0.00006752284,0.00281871],"study_design_scores_gemma":[0.000009016163,0.0001600583,0.9982389,0.000002358287,0.00006015246,0.0002513279,0.0001325809,0.0003383379,0.0006288051,0.00001232199,0.0001626279,0.000003556233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996477,0.00004077348,0.0001795552,0.000005941959,0.000001026016,0.000009327657,0.00005223858,0.000001776111,0.00006160988],"genre_scores_gemma":[0.9987601,0.00003604926,0.0006868512,0.0000101388,0.000005152865,0.00003060004,0.0002709887,0.000002765571,0.0001974198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004135052,"threshold_uncertainty_score":0.008221924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254029229321664,"score_gpt":0.2866219885981228,"score_spread":0.2740816963049062,"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."}}