{"id":"W4388529073","doi":"10.1093/jas/skad281.511","title":"PSIX-19 Association of the Rumen Microbiota with Carcass Merit and Beef Quality","year":2023,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Marbled meat; Rumen; Intramuscular fat; Biology; Beef cattle; Microbiome; Animal science; Ruminant; Latin square; Carcass weight; Food science; Biotechnology; Body weight; Fermentation; Agronomy; Pasture; Genetics","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":[0.0004880611,0.0002320738,0.0003277196,0.0004490923,0.0002320501,0.0006107375,0.00008936007,0.0002552312,0.002740415],"category_scores_gemma":[0.0006803698,0.0001212598,0.0002023325,0.0003992285,0.0001711518,0.0001764341,0.0003078343,0.0003145546,0.0003147319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704723,"about_ca_system_score_gemma":0.000127389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929151,"about_ca_topic_score_gemma":0.002261236,"domain_scores_codex":[0.9997352,0.00006087374,0.00002413542,0.00006369579,0.00006532187,0.00005073673],"domain_scores_gemma":[0.9989377,0.0001686255,0.0004254002,0.0000425563,0.0001790712,0.0002466325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000135,0.0000643797,0.9378169,0.00003633061,0.0001201209,0.00007022489,0.00008899,0.0000578602,0.05785494,0.00001764328,0.00007509434,0.00279738],"study_design_scores_gemma":[0.000001846024,0.0001368987,0.9990089,0.000001758028,0.00000958321,0.00005757262,0.00005298889,0.0001163285,0.0005461148,0.000005449164,0.00006155694,9.128134e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994256,0.00008609121,0.0001143448,0.000006325177,0.000002403367,0.000001708188,0.0002086926,0.000002125319,0.0001526933],"genre_scores_gemma":[0.998966,0.00002994475,0.0002456159,0.00000901756,0.000004317184,0.000003240729,0.0003523948,0.0000021424,0.0003874002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002740415,"threshold_uncertainty_score":0.009167612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820560176475529,"score_gpt":0.2738444604358418,"score_spread":0.2456388586710865,"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."}}