{"id":"W6939495706","doi":"10.6084/m9.figshare.17020931.v1","title":"Additional file 2 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":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Identification (biology); Beef cattle; Single-nucleotide polymorphism; Whole genome sequencing; Candidate gene; Genome; Gene","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":[0.001044291,0.001212068,0.001526245,0.001388152,0.0008621164,0.001606169,0.002006451,0.001619894,0.4675637],"category_scores_gemma":[0.009277378,0.0005442669,0.001192111,0.00250022,0.00030402,0.0008291802,0.0009990133,0.001051074,0.06434163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737306,"about_ca_system_score_gemma":0.001260924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188293,"about_ca_topic_score_gemma":0.02331075,"domain_scores_codex":[0.9995434,0.00007115685,0.00006033627,0.0001897444,0.00006106001,0.00007436082],"domain_scores_gemma":[0.9954716,0.003126976,0.000358239,0.000345666,0.000467221,0.0002303552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006569974,0.0001275419,0.009169414,0.003688813,0.000244417,0.000129651,0.00007041613,0.0007677639,0.0004501776,0.0006175596,0.9787265,0.005350712],"study_design_scores_gemma":[0.01057446,0.000449008,0.095894,0.003321291,0.000938484,0.0009297489,0.0003878969,0.003093824,0.001678868,0.008194105,0.8743564,0.0001818308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001863893,0.00001676536,0.00005207739,0.00002130443,0.000005817462,0.00001025015,0.9995348,0.00004772633,0.0001248926],"genre_scores_gemma":[0.002599958,0.00004134994,0.000577232,0.0001311158,0.00001707063,0.000269086,0.9950821,0.0000972397,0.001184789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4675637,"threshold_uncertainty_score":0.7594558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244730848468618,"score_gpt":0.2310587811616352,"score_spread":0.2065856963147734,"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."}}