{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288274,0.0001401142,0.0002257361,0.0002669048,0.0001067966,0.00002479718,0.00009639707,0.0001671368,0.00001486537],"category_scores_gemma":[0.00001539018,0.0001426357,0.0001159789,0.0002244355,0.00004614017,0.000007108717,0.00005720604,0.00005099297,4.704053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002936333,"about_ca_system_score_gemma":0.00008622312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003149947,"about_ca_topic_score_gemma":0.0009216744,"domain_scores_codex":[0.9990679,0.00004081457,0.0002246643,0.0003709846,0.00009644326,0.0001992049],"domain_scores_gemma":[0.9995317,0.00001646694,0.0001093282,0.0002052581,0.00008377209,0.00005342542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000796182,0.00003253922,0.004000624,0.00004147207,0.00191221,0.000002400759,0.00007258811,0.05875446,0.8545393,0.0004929753,0.0001357736,0.07921951],"study_design_scores_gemma":[0.002550615,0.0006895997,0.06847724,0.00005523804,0.001682056,0.00001389914,0.0001250665,0.05454819,0.8694275,0.0001117297,0.001881914,0.0004369492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920432,0.001844489,0.2052994,0.0001054789,0.00007542803,0.0003561542,0.0001564865,0.000009113792,0.0001102138],"genre_scores_gemma":[0.9949583,0.0001312212,0.003509832,0.00005977176,0.00006850647,0.00004694869,0.0009123199,0.00002104814,0.0002920424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2029151,"threshold_uncertainty_score":0.5816513,"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."}}