{"id":"W1991668619","doi":"10.1038/sj.hdy.6800281","title":"Associations between single nucleotide polymorphisms in candidate genes and growth rate in Arctic charr (Salvelinus alpinus L.)","year":2003,"lang":"en","type":"article","venue":"Heredity","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Biology; Salvelinus; Single-nucleotide polymorphism; Genetics; Candidate gene; Locus (genetics); Backcrossing; Gene; Allele; SNP; Genotype; Trout; Fishery","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":[0.0004802015,0.0003026541,0.0001695166,0.0005630841,0.0002755396,0.0002720905,0.0001779755,0.000352932,0.001100664],"category_scores_gemma":[0.0006958575,0.0001318958,0.0002078118,0.0003568905,0.0002875175,0.000093346,0.0001412817,0.000315835,0.0001523643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027158,"about_ca_system_score_gemma":0.0001408331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004542858,"about_ca_topic_score_gemma":0.007919956,"domain_scores_codex":[0.99981,0.00007385956,0.00001604079,0.00005093135,0.00002892371,0.00002018199],"domain_scores_gemma":[0.999116,0.0003435288,0.0003014262,0.00003447258,0.00006690095,0.0001375987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001966937,0.0001763732,0.9498147,0.00004208286,0.0004073697,0.0006113879,0.0002878066,0.0004466522,0.04258889,0.00009070482,0.0002150591,0.003351964],"study_design_scores_gemma":[0.00001917926,0.0001570905,0.9982446,0.000004332034,0.00005753143,0.00025994,0.00007935265,0.0005222741,0.0005299773,0.00003125094,0.00008935977,0.000005079264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997906,0.00005024103,0.00003053154,0.00001679042,0.000002394398,3.951742e-7,0.00005574546,0.000001730766,0.00005163839],"genre_scores_gemma":[0.9993318,0.00004321285,0.0001269881,0.00001470319,0.000007776388,0.000002953699,0.0001696226,0.000002839399,0.0003001223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004542858,"threshold_uncertainty_score":0.009032845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620009211137875,"score_gpt":0.2369701819458092,"score_spread":0.2207700898344305,"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."}}