{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001931949,0.000128606,0.0001943523,0.0004020937,0.0001494789,0.0002295875,0.0001266245,0.000205632,0.0003363638],"category_scores_gemma":[0.0002920244,0.0001237002,0.0001653742,0.0002641968,0.000190865,0.00007633935,0.000184644,0.0001611543,0.0001128801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009321933,"about_ca_system_score_gemma":0.00007293824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008245895,"about_ca_topic_score_gemma":0.002323603,"domain_scores_codex":[0.9998338,0.00002997862,0.00001096622,0.00006799812,0.00003365419,0.00002359275],"domain_scores_gemma":[0.9998354,0.00007327581,0.00003796763,0.00001804919,0.0000144683,0.00002085277],"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":[0.0001916534,0.00005275362,0.1165963,0.0000237587,0.00007956077,0.0001771783,0.0002441863,0.0004790013,0.8751787,0.0001057327,0.00005074031,0.006820384],"study_design_scores_gemma":[0.00001425154,0.0001913013,0.9462014,0.000003929101,0.00004928928,0.0003710205,0.0001125888,0.001820101,0.05053979,0.0001347366,0.0005529713,0.000008662157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991754,0.00003674029,0.0005885674,0.000004794376,5.472987e-7,0.000001988168,0.0001114737,0.000005037705,0.00007543572],"genre_scores_gemma":[0.9962663,0.00006297205,0.002426953,0.00004810603,0.000003377761,0.00001551262,0.0006961356,0.000008265485,0.0004723888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008245895,"threshold_uncertainty_score":0.001639545,"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."}}