{"id":"W1993482170","doi":"10.1186/1471-2156-11-63","title":"Growth-related quantitative trait loci in domestic and wild rainbow trout (Oncorhynchus mykiss)","year":2010,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Guelph; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantitative trait locus; Rainbow trout; Biology; Genetics; Synteny; Epistasis; Genetic linkage; Genetic architecture; Family-based QTL mapping; Trout; Gene; Candidate gene; Genome; Gene mapping; Chromosome; Fish <Actinopterygii>; 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":[0.000176269,0.0002378951,0.0001507688,0.0005283147,0.0001625016,0.0001335904,0.0001543638,0.0001288015,0.0008295718],"category_scores_gemma":[0.0002199704,0.000119651,0.0002431283,0.0003386376,0.0002287923,0.00008417533,0.0003208447,0.0001822215,0.000111831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006479523,"about_ca_system_score_gemma":0.000285306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008638713,"about_ca_topic_score_gemma":0.01498698,"domain_scores_codex":[0.9998679,0.00001030755,0.00001029162,0.00006294544,0.00002959157,0.00001895205],"domain_scores_gemma":[0.9998742,0.00002105851,0.00005373568,0.00001055904,0.00001782267,0.00002253559],"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":[0.0003261643,0.00003361214,0.02663156,0.00004112574,0.00006647452,0.00009286292,0.0001314923,0.0001926287,0.9693013,0.0001003822,0.00008740836,0.002994985],"study_design_scores_gemma":[0.00004611656,0.0001935917,0.9811741,0.000005669679,0.00007183297,0.0002871065,0.00008380364,0.0006028473,0.01665661,0.00006958361,0.0007972515,0.00001155659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983473,0.00009728711,0.0005550505,0.0000123909,0.00000291034,0.000009017882,0.0006395773,0.00003023723,0.0003063488],"genre_scores_gemma":[0.9957792,0.00005927249,0.001107345,0.00003715312,0.000002227368,0.00004576764,0.001999605,0.00002501659,0.0009444561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008638713,"threshold_uncertainty_score":0.01717687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413107008584026,"score_gpt":0.2787122426715681,"score_spread":0.2645811725857278,"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."}}