{"id":"W2269730187","doi":"10.1111/mec.13467","title":"Targeted capture and resequencing of 1040 genes reveal environmentally driven functional variation in grey wolves","year":2015,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; National Institutes of Health; University of California, Los Angeles; University of California Berkeley","keywords":"Biology; Genetics; Nonsynonymous substitution; Candidate gene; Single-nucleotide polymorphism; SNP genotyping; Genome; Gene; Evolutionary biology; SNP array; Copy-number variation; Computational biology; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001483646,0.0001098876,0.0001379936,0.00005083276,0.00002587793,0.000004550124,0.00008680209,0.0001993303,0.00001839837],"category_scores_gemma":[0.00007321143,0.0001153577,0.00002977036,0.00004929232,0.0001092365,0.000003456169,0.00009185023,0.00007621179,0.000002226929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071827,"about_ca_system_score_gemma":0.00009504925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004492418,"about_ca_topic_score_gemma":0.0001047965,"domain_scores_codex":[0.9991501,0.0001169992,0.000196376,0.0002752077,0.00009551468,0.0001657802],"domain_scores_gemma":[0.9996416,0.00001045802,0.00007769771,0.0001623528,0.00003913989,0.00006877058],"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":[0.00009671503,0.00006131523,0.06193141,0.00001143646,0.0000426441,0.000005354743,0.0002753056,0.0085046,0.9275246,0.001063877,0.0002080702,0.0002746414],"study_design_scores_gemma":[0.001086415,0.0005353466,0.9431731,0.000005988652,0.00002298696,0.00003396906,0.0001555611,0.00006888621,0.05046323,0.003742964,0.0005355388,0.000176019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921515,0.00106724,0.005998669,0.0001723251,0.0001312445,0.0001570915,0.000007785679,0.000003902845,0.0003102548],"genre_scores_gemma":[0.9855821,0.00001904287,0.01392191,0.0001676712,0.00004714302,0.00001839213,0.0000683662,0.00001280128,0.0001625563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8812417,"threshold_uncertainty_score":0.4704152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071656860532796,"score_gpt":0.208916272196144,"score_spread":0.198199703590816,"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."}}