{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297809,0.0004968595,0.0006285913,0.00135347,0.000315686,0.000771488,0.0004611517,0.0004575536,0.001374831],"category_scores_gemma":[0.00152945,0.000229741,0.001237043,0.001752035,0.0002774934,0.0001737365,0.0003963586,0.0004766267,0.0001235241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112393,"about_ca_system_score_gemma":0.0002747825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003794344,"about_ca_topic_score_gemma":0.004124752,"domain_scores_codex":[0.9992247,0.0002406257,0.00005494809,0.0002650335,0.0001097509,0.0001050745],"domain_scores_gemma":[0.9990129,0.0005384271,0.0002189787,0.00006981173,0.00007307345,0.00008670622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002064447,0.0001365565,0.9114861,0.0001399173,0.003790444,0.0008812231,0.0001892718,0.002436487,0.06170828,0.0001314682,0.000203639,0.01683217],"study_design_scores_gemma":[0.00003339079,0.000163628,0.9892753,0.00001417334,0.0009852162,0.0004438006,0.00009923375,0.006037869,0.002435747,0.0001442,0.0003529773,0.00001466119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953392,0.0006195059,0.003055367,0.00004205513,0.000008709368,0.000005947134,0.0008064372,0.00002765665,0.00009514189],"genre_scores_gemma":[0.9967577,0.0001049695,0.001993044,0.00003737834,0.00001035803,0.000008835604,0.00090452,0.000009036987,0.0001741955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003794344,"threshold_uncertainty_score":0.007544518,"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."}}