{"id":"W2759174511","doi":"10.1139/cjfas-2017-0116","title":"Rapid discovery of SNPs that differentiate hatchery steelhead trout from ESA-listed natural-origin steelhead trout using a 57K SNP array","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture","keywords":"Biology; Hatchery; Trout; Rainbow trout; Fishery; Introgression; Population; Threatened species; Single-nucleotide polymorphism; Selection (genetic algorithm); SNP; Zoology; Ecology; Genetics; Fish <Actinopterygii>; Habitat; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006438902,0.0001434856,0.0002366043,0.000521928,0.0002051334,0.0003202128,0.0001673739,0.0001960011,0.0006009644],"category_scores_gemma":[0.0007405356,0.0001351289,0.0002158667,0.0004083971,0.0002007919,0.0001213286,0.0002560999,0.0002686057,0.0001475177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507397,"about_ca_system_score_gemma":0.0004257624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00518033,"about_ca_topic_score_gemma":0.02013732,"domain_scores_codex":[0.9996086,0.00005088875,0.00002968581,0.0001933339,0.00007747673,0.00004007043],"domain_scores_gemma":[0.9995652,0.0001648397,0.00009735407,0.00003333417,0.00008485917,0.00005447773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004832727,0.00008603999,0.5669498,0.00004633659,0.0001739979,0.0001343314,0.0004390465,0.001191115,0.4111933,0.0002523766,0.0003039018,0.01874647],"study_design_scores_gemma":[0.00002018832,0.00007136102,0.9869005,0.000003759348,0.00004490445,0.00007082142,0.0000696407,0.002518079,0.00982408,0.00005110478,0.0004162063,0.00000925641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978033,0.00002835176,0.001360201,0.00001308676,0.000002424748,0.00001034197,0.0005049112,0.00001783331,0.000259647],"genre_scores_gemma":[0.9880601,0.00003459299,0.008810606,0.00005182366,0.000004029982,0.00003044227,0.002153495,0.0000104408,0.0008445406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00518033,"threshold_uncertainty_score":0.01030034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233568392668919,"score_gpt":0.266549331933566,"score_spread":0.2142136480068768,"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."}}