{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003431135,0.0001445399,0.0001618322,0.00009905075,0.00008605888,0.00002371003,0.0001436065,0.00011682,0.00001810957],"category_scores_gemma":[0.00007578447,0.0001094482,0.00006174274,0.0002121261,0.0001482321,0.00000379605,0.0001173652,0.0001272415,0.00005359933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002263389,"about_ca_system_score_gemma":0.00004867086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007348348,"about_ca_topic_score_gemma":0.0001179347,"domain_scores_codex":[0.9991063,0.0001306032,0.0001824693,0.0002726426,0.00005757437,0.000250375],"domain_scores_gemma":[0.9995474,0.0001089107,0.0000633549,0.0002164341,0.00002969602,0.00003420196],"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":[0.0005177792,0.0000239004,0.001192189,0.00005053991,0.00002330567,0.000003071789,0.00004235045,0.000002231584,0.9908211,0.00004798453,0.007218466,0.0000570925],"study_design_scores_gemma":[0.001738426,0.0003875197,0.04691456,0.00003503393,0.0000114475,0.00001514429,0.0000171333,0.00000177204,0.9484915,0.000002685837,0.002262869,0.000121899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998698,0.0001392916,0.00000170502,0.0004635306,0.0003620725,0.0002315402,0.00006446898,0.0000119734,0.00002741392],"genre_scores_gemma":[0.9987507,0.00006897581,0.00004215801,0.0002131901,0.00005365223,0.000004426832,0.0002136812,0.00002225854,0.0006309522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04572237,"threshold_uncertainty_score":0.4463167,"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."}}