{"id":"W3205060203","doi":"10.1038/s41598-021-99778-9","title":"Heritability and genetic correlations of plasma metabolites of pigs with production, resilience and carcass traits under natural polymicrobial disease challenge","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; University of Saskatchewan; University of Alberta","funders":"U.S. Department of Agriculture; Genome Alberta; National Institute of Food and Agriculture; University of Alberta; Genome Canada; Genome Prairie","keywords":"Heritability; Biology; Metabolite; Metabolome; Genetic correlation; Genetic variation; Plasma concentration; Phenotype; Animal science; Genetics; Endocrinology; Gene","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":[0.0007558135,0.0002138574,0.0002673755,0.0004673538,0.0001418662,0.0003206628,0.0001313975,0.0002332568,0.0008269083],"category_scores_gemma":[0.0006784148,0.0001973272,0.000196288,0.0002873093,0.0003000079,0.0001277998,0.000327138,0.0003096841,0.0001007932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430166,"about_ca_system_score_gemma":0.0001424803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428546,"about_ca_topic_score_gemma":0.001611284,"domain_scores_codex":[0.9995748,0.000122637,0.00003032232,0.0001526393,0.00006289585,0.00005669399],"domain_scores_gemma":[0.9990701,0.0003448854,0.0002854245,0.0001370194,0.00006904224,0.00009341726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00092685,0.0001340207,0.7037343,0.0000353714,0.000534254,0.0002594305,0.0004791086,0.001122815,0.286893,0.0002055651,0.00009505953,0.005580353],"study_design_scores_gemma":[0.000002326847,0.00006435512,0.9982777,0.000001278175,0.00002367379,0.00006447601,0.00003250674,0.0004686554,0.00100079,0.0000215265,0.00003967346,0.000003171503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994305,0.00002629959,0.0003570741,0.000004645006,9.828204e-7,0.000002490301,0.00007896288,0.000003347249,0.00009567046],"genre_scores_gemma":[0.9994765,0.00001472086,0.0002388133,0.000003327485,0.000001369925,0.000005810275,0.0001263015,0.00000362542,0.0001296323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001428546,"threshold_uncertainty_score":0.003997207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142682880602766,"score_gpt":0.2064588307117751,"score_spread":0.1983161478311723,"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."}}