{"id":"W2333015996","doi":"10.2527/af.2016-0017","title":"Gut microbiome and omics: a new definition to ruminant production and health","year":2016,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency","keywords":"Omics; Ruminant; Microbiome; Biology; Gut flora; Metagenomics; Phenotype; Microbial ecology; Gut microbiome; Computational biology; Biotechnology; Bioinformatics; Bacteria; Genetics; Ecology; Immunology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001256531,0.00009984858,0.0001160636,0.00005071523,0.00008660649,0.00001478916,0.00003996136,0.00006750924,0.000002534584],"category_scores_gemma":[0.00002132781,0.00007838128,0.00001919566,0.00004177369,0.00004769472,0.000005783053,0.00004962245,0.00002828227,0.000007805145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003029408,"about_ca_system_score_gemma":0.0001080575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009298688,"about_ca_topic_score_gemma":0.00009826702,"domain_scores_codex":[0.9992622,0.00001939704,0.0001272078,0.000332115,0.00002936387,0.0002297375],"domain_scores_gemma":[0.9996377,0.000001193367,0.00004538609,0.0001187242,0.00002179998,0.0001751924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001098921,0.00001068574,0.003662766,0.00001838102,0.000009970661,3.437983e-7,0.00007634269,2.107988e-8,0.8875195,0.00006686962,0.09763538,0.01088979],"study_design_scores_gemma":[0.002038929,0.004401144,0.3920551,0.0002353848,0.00003740201,0.000275084,0.000523705,0.000001720471,0.2126873,0.0006007788,0.3863642,0.0007791649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806775,0.002174242,0.001902254,0.01473069,0.000204403,0.0002359844,0.00002432789,0.00001030835,0.00004024514],"genre_scores_gemma":[0.9852029,0.00212559,0.01033795,0.001133022,0.0002248601,0.000005198243,0.00002575869,0.00001699341,0.000927731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6748322,"threshold_uncertainty_score":0.3196296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869897480211249,"score_gpt":0.2574943116048748,"score_spread":0.2387953368027623,"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."}}