{"id":"W2154059887","doi":"10.1186/1757-4749-5-8","title":"Effect of antimicrobial growth promoter administration on the intestinal microbiota of beef cattle","year":2013,"lang":"en","type":"article","venue":"Gut Pathogens","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Lethbridge","funders":"Alberta Innovates; Alberta Innovates Bio Solutions; Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency; Advanced Foods and Materials Network","keywords":"Beef cattle; Feedlot; Biology; Antimicrobial; Bacteria; Livestock; Rumen; Animal science; Antibiotics; Veterinary medicine; Microbiology; Terminal restriction fragment length polymorphism; Food science; Biotechnology; Polymerase chain reaction; Restriction fragment length polymorphism; Medicine; Ecology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060339,0.00007392786,0.0001185371,0.000005408821,0.00004890642,0.000007662342,0.0001163704,0.00004901143,0.0004598388],"category_scores_gemma":[0.00005119167,0.00002247857,0.0000739625,0.00009056557,0.00009464696,0.0000226029,0.00002316286,0.00005795628,0.00005975617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003525884,"about_ca_system_score_gemma":0.000003606716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007100325,"about_ca_topic_score_gemma":0.00001186143,"domain_scores_codex":[0.9994701,0.0001298939,0.0001373604,0.0001129715,0.00004892933,0.000100741],"domain_scores_gemma":[0.9995738,0.0002155224,0.00008473815,0.00003638253,0.00006671012,0.00002287387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005521835,0.00007244622,0.001105768,0.00001622172,0.000003486687,3.163021e-7,0.00001528943,1.351484e-7,0.9955441,0.0001740508,0.001346627,0.00166628],"study_design_scores_gemma":[0.0001212823,0.00306397,0.1724404,0.00004374608,0.00001073913,0.00001265977,0.0000210347,0.00001018775,0.8238598,0.0001159623,0.0002193904,0.00008076136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980685,0.000005440302,8.524654e-7,0.001246107,0.00003249562,0.0002427781,0.00007492845,0.00000875144,0.0003201202],"genre_scores_gemma":[0.9996547,0.000003410285,0.00003315459,0.0001490823,0.00006488766,0.00000940316,0.00004837852,5.271645e-7,0.00003646238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716843,"threshold_uncertainty_score":0.5034912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227589147911359,"score_gpt":0.2151949434145292,"score_spread":0.2029190519354156,"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."}}