{"id":"W2157099427","doi":"10.1128/aem.01086-07","title":"Impact of Feed Supplementation with Antimicrobial Agents on Growth Performance of Broiler Chickens,<i>Clostridium perfringens</i>and<i>Enterococcus</i>Counts, and Antibiotic Resistance Phenotypes and Distribution of Antimicrobial Resistance Determinants in<i>Escherichia coli</i>Isolates","year":2007,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; Ministry of Agriculture; Government of British Columbia; University of British Columbia; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Clostridium perfringens; Broiler; Antimicrobial; Antibiotic resistance; Biology; Microbiology; Antibiotics; Enterococcus; Clostridium; Distribution (mathematics); Bacteria; Food science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001348912,0.000213676,0.0003042649,0.00003826,0.00006642213,0.000006109756,0.00006786733,0.0000889193,0.00003909028],"category_scores_gemma":[0.000002541845,0.0001776033,0.0000240212,0.00007684051,0.001151668,0.00008130311,0.0001198183,0.000109687,0.000003101293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006210078,"about_ca_system_score_gemma":0.000004206674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004264773,"about_ca_topic_score_gemma":0.00003004377,"domain_scores_codex":[0.9989713,0.00002246015,0.0003259537,0.0003338506,0.00006402699,0.0002824187],"domain_scores_gemma":[0.9996096,0.0000355553,0.0001842658,0.00009377403,0.000001964402,0.00007483791],"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":[0.0005174848,0.0001371846,0.3402165,0.00009507006,0.00001648032,0.000001353554,0.00009587532,0.000004050793,0.6585987,0.000009083304,0.00005359251,0.0002546436],"study_design_scores_gemma":[0.001009347,0.0001918279,0.5647758,0.00008695471,0.00002563817,0.000009669235,0.00002904977,0.000009600185,0.4336628,0.000004569275,0.00006252759,0.0001321999],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991475,0.00008441145,0.00001057608,0.00001899135,0.00001948072,0.0002608015,0.0002781923,0.000004071844,0.0001759375],"genre_scores_gemma":[0.9984245,0.001151797,0.0002268729,0.00006816066,0.000007172932,7.903619e-7,0.00007758621,0.00001375998,0.00002938214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2249359,"threshold_uncertainty_score":0.7242454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006286620846605999,"score_gpt":0.2214201608364818,"score_spread":0.2151335399898758,"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."}}