{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049989,0.0006290169,0.0005761956,0.0003406595,0.0002770957,0.0006422006,0.0002904742,0.0004998675,0.0006231145],"category_scores_gemma":[0.0006209535,0.0002860664,0.0004112439,0.0001815725,0.0004111904,0.0002906254,0.0002781802,0.0005668892,0.0001955777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006504972,"about_ca_system_score_gemma":0.0004256932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005122528,"about_ca_topic_score_gemma":0.01031327,"domain_scores_codex":[0.9994637,0.0001175519,0.00004793147,0.0001659979,0.0001035514,0.0001012646],"domain_scores_gemma":[0.9992729,0.0001866401,0.000172725,0.00003281416,0.0001040128,0.0002309996],"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":[0.006872818,0.0007686235,0.008010521,0.0001442669,0.000101403,0.0001059122,0.000138869,0.0002410363,0.9786904,0.00001288391,0.00007058006,0.004842773],"study_design_scores_gemma":[0.0001433341,0.03704563,0.2317391,0.0000634732,0.0004030785,0.0002842838,0.0005031804,0.001497274,0.7265167,0.00003423289,0.001702927,0.00006680689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992946,0.0002874938,0.00007510876,0.00002579486,0.000009492531,0.000009868571,0.00009687489,0.000006874921,0.0001938343],"genre_scores_gemma":[0.9976261,0.0002573953,0.0006503105,0.00008126211,0.000009417471,0.00002098525,0.0003313393,0.00001007965,0.001013081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005122528,"threshold_uncertainty_score":0.01018548,"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."}}