{"id":"W4389737480","doi":"10.3390/microorganisms11122982","title":"Effect of Antimicrobial Use in Conventional Versus Natural Cattle Feedlots on the Microbiome and Resistome","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Government of Canada; Agriculture and Agri-Food Canada; University of Lethbridge","funders":"","keywords":"Resistome; Feedlot; Microbiome; Metagenomics; Biology; Plasmid; Antibiotic resistance; Feces; Antimicrobial; Beef cattle; Tetracycline; Microbiology; Veterinary medicine; Biotechnology; Gene; Antibiotics; Animal science; Genetics; Integron","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":[0.0004967173,0.0002363955,0.0003095669,0.0003140245,0.0002828012,0.0007515086,0.0001991057,0.0002794541,0.001056186],"category_scores_gemma":[0.001069264,0.0001478375,0.0002208644,0.0003445924,0.0003653026,0.0003566033,0.0003865905,0.0003997893,0.0001166724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005361376,"about_ca_system_score_gemma":0.0003386351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210253,"about_ca_topic_score_gemma":0.01257388,"domain_scores_codex":[0.9993637,0.0001737784,0.00004290776,0.0001830683,0.0001020332,0.0001345945],"domain_scores_gemma":[0.9990494,0.000267492,0.0002824649,0.00004337063,0.0001061978,0.0002510069],"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":[0.009567611,0.001156724,0.3570137,0.0002703576,0.0003748823,0.0002439526,0.001060201,0.0002538962,0.6084961,0.00008524018,0.0003153742,0.02116199],"study_design_scores_gemma":[0.00001807018,0.0025602,0.985561,0.00001615067,0.00006513519,0.00009293704,0.0006970943,0.000265935,0.01011583,0.00002554818,0.0005720034,0.00001016764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996568,0.00008807395,0.00003482773,0.00001268649,0.00000245577,0.000002568509,0.0001106787,0.000001303606,0.00009053497],"genre_scores_gemma":[0.9985543,0.0001377236,0.0002861059,0.00008467283,0.00000612747,0.00001924942,0.0004364045,0.000003886204,0.0004714902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004210253,"threshold_uncertainty_score":0.008371532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132028218717734,"score_gpt":0.2611762531073798,"score_spread":0.2498559709202025,"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."}}