{"id":"W6920362452","doi":"10.6084/m9.figshare.12291899","title":"Additional file 16 of Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metabolome; Venn diagram; Rumen; Microbiome; Host (biology); Metabolite; Dairy cattle","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":[0.001338305,0.001584047,0.00161173,0.002258203,0.00110677,0.001816314,0.002174796,0.001474003,0.7973872],"category_scores_gemma":[0.01209169,0.0006117253,0.001462208,0.003378709,0.0002867026,0.001822964,0.001245579,0.001048418,0.1296324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008191367,"about_ca_system_score_gemma":0.001631606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006893286,"about_ca_topic_score_gemma":0.01234835,"domain_scores_codex":[0.9993054,0.00008460684,0.0000840633,0.0002154764,0.0001771364,0.0001332617],"domain_scores_gemma":[0.9919233,0.005449083,0.0005268726,0.0005897282,0.001232191,0.000278734],"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":[0.0009926505,0.0002130598,0.009845899,0.007061063,0.0002525752,0.0002676268,0.0001631101,0.001337085,0.002237153,0.0007790753,0.9589977,0.01785296],"study_design_scores_gemma":[0.006731907,0.0006820097,0.09355324,0.005388505,0.0005592653,0.001285385,0.001036229,0.008223329,0.006342085,0.01251837,0.8632309,0.0004486776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003540281,0.00002621083,0.0003868967,0.00007372773,0.00004095153,0.00003552587,0.9981301,0.0005532365,0.0003992057],"genre_scores_gemma":[0.01247713,0.0001711447,0.007570346,0.0005362784,0.0001287843,0.000808442,0.9699701,0.001553764,0.00678404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7973872,"threshold_uncertainty_score":0.2890025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803887581218564,"score_gpt":0.2274656421628538,"score_spread":0.1794267663506681,"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."}}