{"id":"W1963536647","doi":"10.3382/ps.2007-00267","title":"Appropriate Chicken Sample Size for Identifying the Composition of Broiler Intestinal Microbiota Affected by Dietary Antibiotics, Using the Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis Technique","year":2007,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture, Food and Rural Affairs; University of Guelph; Agriculture and Agri-Food Canada","funders":"Poultry Industry Council; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Poultry Research Council","keywords":"Temperature gradient gel electrophoresis; Virginiamycin; Bacitracin; Biology; Antibiotics; Gut flora; Broiler; Polymerase chain reaction; Food science; Gel electrophoresis; Microbiology; Bacteria; 16S ribosomal RNA; Biochemistry; Genetics; Gene","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":[0.002649049,0.0006475816,0.0007828406,0.0006995728,0.0003629158,0.0004515419,0.0003213602,0.0007329824,0.001669255],"category_scores_gemma":[0.002888456,0.0005302416,0.0004003622,0.0002373405,0.0004570314,0.0002865567,0.0003696159,0.0003526098,0.0004270023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218581,"about_ca_system_score_gemma":0.0002586443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006780855,"about_ca_topic_score_gemma":0.002129621,"domain_scores_codex":[0.9977003,0.0007069725,0.0003512303,0.0006356108,0.000480038,0.0001259221],"domain_scores_gemma":[0.9988112,0.0004717845,0.0001541246,0.000161297,0.0003308802,0.00007074354],"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":[0.0005594539,0.0002298574,0.003161397,0.0001046054,0.00002510479,0.00003525646,0.00007772153,0.0001369479,0.9909445,0.0000461518,0.00008661876,0.004592323],"study_design_scores_gemma":[0.0002048254,0.004687041,0.07294789,0.00008592151,0.0002931519,0.0003272689,0.0001583759,0.003730031,0.9125118,0.0001102354,0.004908373,0.00003499902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063159,0.001257766,0.08576688,0.0001958109,0.0002107076,0.003331055,0.001225407,0.0003036517,0.001392921],"genre_scores_gemma":[0.7220055,0.000797289,0.2655067,0.0003145339,0.00005624169,0.005900074,0.002766603,0.0001675643,0.002485409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002649049,"threshold_uncertainty_score":0.01400971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318896030733238,"score_gpt":0.2663319243266734,"score_spread":0.243142964019341,"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."}}