{"id":"W4210505444","doi":"10.1155/2022/8319396","title":"Artificial Selection Drives SNPs of Olfactory Receptor Genes into Different Working Traits in Labrador Retrievers","year":2022,"lang":"en","type":"article","venue":"Genetics Research","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Linkage disequilibrium; Biology; Genetics; Allele; Single-nucleotide polymorphism; Breed; Locus (genetics); Selection (genetic algorithm); SNP; Candidate gene; Gene; Evolutionary biology; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002864854,0.0002046296,0.0001544784,0.0003708381,0.0001451991,0.0001993087,0.0002922225,0.000189585,0.0007687357],"category_scores_gemma":[0.0002183738,0.0001248623,0.0003016171,0.0002382923,0.0002719928,0.00008433651,0.0002283318,0.0002375479,0.00008894121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692637,"about_ca_system_score_gemma":0.0001185638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007888659,"about_ca_topic_score_gemma":0.002252718,"domain_scores_codex":[0.9997091,0.00007416053,0.00002706285,0.00009972588,0.00004800752,0.00004196353],"domain_scores_gemma":[0.9998577,0.00003770522,0.00005176113,0.00001632425,0.000009033239,0.00002748258],"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":[0.0006565511,0.000148995,0.05229972,0.0000426226,0.0001496674,0.0005501756,0.0004801688,0.0003527567,0.936004,0.0003901177,0.00008265019,0.008842705],"study_design_scores_gemma":[0.00007459387,0.0007446869,0.8937569,0.00001776108,0.0002905198,0.001024364,0.0005919524,0.003841629,0.0968196,0.0002557082,0.002549272,0.00003298726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995552,0.00002155517,0.0002529836,0.000005312179,0.000001569431,0.0000026353,0.00003379921,0.000003925269,0.0001230079],"genre_scores_gemma":[0.998598,0.00003310704,0.0005425428,0.00003192864,0.000002560705,0.00001198669,0.0001869976,0.00001196267,0.0005808154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007888659,"threshold_uncertainty_score":0.002571642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061560234911125,"score_gpt":0.401772264807278,"score_spread":0.2956162413161654,"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."}}