{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001484534,0.001355864,0.001646818,0.002351998,0.001238638,0.001527809,0.002241915,0.001611212,0.8444118],"category_scores_gemma":[0.02045559,0.0006760603,0.001351383,0.003257197,0.0004015955,0.001225713,0.0009768463,0.0009736894,0.1117982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008324514,"about_ca_system_score_gemma":0.001288018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250552,"about_ca_topic_score_gemma":0.02055621,"domain_scores_codex":[0.999377,0.00009475092,0.00009277307,0.0002140571,0.0001190526,0.0001024562],"domain_scores_gemma":[0.9839013,0.0129531,0.0007929215,0.0007159217,0.001226239,0.0004104455],"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":[0.00105959,0.0002469705,0.01125078,0.005034128,0.0002414727,0.0004027393,0.0001863648,0.0009134447,0.000850705,0.0009071297,0.9644263,0.01448033],"study_design_scores_gemma":[0.02175116,0.001042925,0.1837113,0.00672013,0.001383989,0.003515894,0.001378359,0.008160911,0.004052686,0.02124095,0.7464553,0.0005864489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000468338,0.00002389411,0.000429033,0.00008353858,0.00002792146,0.00006205017,0.9981703,0.0002783615,0.0004564596],"genre_scores_gemma":[0.01829832,0.0001666894,0.008276367,0.000844249,0.0001741695,0.00197245,0.958993,0.001055709,0.01021909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444118,"threshold_uncertainty_score":0.2219275,"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."}}