{"id":"W6958394548","doi":"10.6084/m9.figshare.17020937.v1","title":"Additional file 4 of 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":"article","venue":"Figshare","topic":"European Linguistics and Anthropology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Beef cattle; Candidate gene; Identification (biology); Population; Gene; Feed conversion ratio","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":[0.00007728873,0.00005179299,0.000120116,0.0000354647,0.0001418396,0.00002195008,0.00006314346,0.00004900178,0.1654158],"category_scores_gemma":[0.006770392,0.0000482168,0.00001963601,0.0001727707,0.00009622458,0.00003530851,0.00003268266,0.00004147389,0.000006197091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008995624,"about_ca_system_score_gemma":0.0001217545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006266621,"about_ca_topic_score_gemma":0.0002140793,"domain_scores_codex":[0.9993917,0.00007768361,0.0001936245,0.0001669958,0.00006009876,0.0001098925],"domain_scores_gemma":[0.9987277,0.0008676572,0.0001258915,0.0000389953,0.0002065815,0.00003311337],"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":[0.00001973823,0.0002540735,0.0001495076,0.0001848381,0.00004936664,0.000007565102,0.004168279,0.00002353523,0.3266673,0.002708839,0.6569437,0.008823276],"study_design_scores_gemma":[0.0007489673,0.000193907,0.07277212,0.0005800215,0.00003000873,0.000009866244,0.007878083,0.002889726,0.003466472,0.0008395035,0.9101735,0.0004178704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01234804,0.0003221611,0.00001609145,0.00004062782,0.00002525314,0.00009119583,0.9868653,0.000006986363,0.0002843084],"genre_scores_gemma":[0.3679751,0.00002690201,0.0008058415,0.00001530051,0.0000688759,0.0000951757,0.6305662,0.000005343155,0.0004413336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3562992,"threshold_uncertainty_score":0.8353471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079004677181384,"score_gpt":0.2965793305010819,"score_spread":0.255789283729268,"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."}}