{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003987111,0.000388429,0.0004234348,0.0003108656,0.000190729,0.0003820866,0.000155512,0.000308581,0.000999495],"category_scores_gemma":[0.0004446615,0.0001459626,0.0002304672,0.0002066265,0.0003269615,0.0001889979,0.0001978591,0.0005473058,0.0001453719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365351,"about_ca_system_score_gemma":0.0003219533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114605,"about_ca_topic_score_gemma":0.003671661,"domain_scores_codex":[0.9995877,0.00009463237,0.00002445916,0.00009932095,0.0000956783,0.00009822854],"domain_scores_gemma":[0.9994771,0.000137863,0.000133896,0.00002212648,0.00008922358,0.0001398269],"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":[0.003601657,0.0003125289,0.003272985,0.00008215086,0.00001919816,0.00003076494,0.00006450241,0.00007172668,0.9890178,0.000007623125,0.00003355055,0.003485511],"study_design_scores_gemma":[0.0001049568,0.0376772,0.1046291,0.00003693588,0.0001624336,0.0001787881,0.0003665037,0.0009966389,0.8540896,0.00003524994,0.001694197,0.00002841387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991366,0.0002742007,0.0001906543,0.00002715078,0.0000106782,0.00001498694,0.000180452,0.000009539406,0.0001556644],"genre_scores_gemma":[0.9964946,0.0003954215,0.001269791,0.0000896311,0.00001484457,0.00004427859,0.0005541666,0.00001017664,0.001127082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002114605,"threshold_uncertainty_score":0.004204571,"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."}}