{"id":"W6921183260","doi":"10.6084/m9.figshare.c.5708369.v1","title":"Identification of candidate genes and enriched biological functions for feed efficiency traits by integrating plasma metabolites and imputed whole genome sequence variants in beef cattle","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Residual feed intake; Candidate gene; Feed conversion ratio; Gene; Beef cattle; Metabolite; Metabolome; Genome; Genome-wide association study","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000479571,0.000140771,0.0002388866,0.0001169953,0.0001076152,0.0002385848,0.0001031412,0.0001068143,0.02484884],"category_scores_gemma":[0.00009272234,0.0001112037,0.00002975585,0.00006647162,0.00002837017,0.0002060068,0.00005484015,0.00006514431,0.00001123816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006783125,"about_ca_system_score_gemma":0.00004234427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699068,"about_ca_topic_score_gemma":0.0004805208,"domain_scores_codex":[0.9992876,0.00002431484,0.0003058525,0.0001940233,0.00006361231,0.0001245702],"domain_scores_gemma":[0.9994517,0.00008437458,0.0002698094,0.00008097621,0.00008129645,0.00003185578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005915645,0.0002157376,0.0001326088,0.006565345,0.0004334898,0.000002858299,0.05221973,0.0000198015,0.07554635,0.01159156,0.8234621,0.02975133],"study_design_scores_gemma":[0.0003084052,0.00003695423,0.0006349143,0.0003736382,0.00001594222,0.000001618843,0.002782668,0.0008553828,0.0002806776,0.00003921591,0.9944687,0.0002018345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008774729,0.01298107,0.00002191333,0.0001228725,0.0002053824,0.0008443922,0.9586215,0.00008804227,0.0183401],"genre_scores_gemma":[0.08725045,0.0003806574,0.0002909423,0.0002960407,0.0006350091,0.0006986462,0.7797574,0.0001545393,0.1305363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1788641,"threshold_uncertainty_score":0.9760426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688462553726323,"score_gpt":0.2423582428249157,"score_spread":0.1954736172876525,"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."}}