{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005687445,0.0001273588,0.0001723463,0.0002921727,0.0003006085,0.00002466369,0.0002607264,0.00008645545,0.0002780271],"category_scores_gemma":[0.0001464478,0.0001364022,0.00007138254,0.0004345102,0.0001584915,0.000002941443,0.0004879815,0.0004214931,0.000007937934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435107,"about_ca_system_score_gemma":0.0001097319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008344726,"about_ca_topic_score_gemma":0.0009861212,"domain_scores_codex":[0.997903,0.0004683597,0.0003275631,0.0004007194,0.0005481445,0.000352231],"domain_scores_gemma":[0.9994246,0.00006581186,0.00007929045,0.0001746236,0.0001952087,0.00006045568],"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":[0.0003032042,0.0001434809,0.01289193,0.00002150829,0.00005151012,0.000001355643,0.0009143615,0.0003457931,0.9656847,0.00003434755,0.001264989,0.01834284],"study_design_scores_gemma":[0.0002380303,0.0008479194,0.03346018,0.00001616029,0.000005628148,0.000002551352,0.00280428,0.0001613619,0.9194794,0.0001106734,0.04269474,0.0001791036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996953,0.00213481,0.00006396986,0.0001268291,0.0002089523,0.0002412571,0.00001138299,0.000007870764,0.0002518954],"genre_scores_gemma":[0.9979601,0.0006279471,0.0002797057,0.00001948691,0.0002152255,0.00008587448,0.0000284703,0.00002602708,0.0007572002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0462053,"threshold_uncertainty_score":0.5562321,"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."}}