{"id":"W2169050290","doi":"10.1128/aem.69.11.6750-6757.2003","title":"Detection and Identification of <i>Lactobacillus</i> Species in Crops of Broilers of Different Ages by Using PCR-Denaturing Gradient Gel Electrophoresis and Amplified Ribosomal DNA Restriction Analysis","year":2003,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; North Carolina State University","keywords":"Temperature gradient gel electrophoresis; Biology; Ribosomal DNA; Gel electrophoresis; Species identification; Polymerase chain reaction; DNA; Ribosomal RNA; Lactobacillus; Identification (biology); Bacteria; 16S ribosomal RNA; Molecular biology; Microbiology; Genetics; Botany; Gene; Phylogenetics","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":[0.00007413579,0.00009983829,0.0002220739,0.00004653297,0.00005275567,0.000006073241,0.00003521468,0.0000936115,0.000005440131],"category_scores_gemma":[0.000002877128,0.00005446809,0.00003324695,0.0001369149,0.0002064292,0.0000211904,0.00003517686,0.00005819737,4.339407e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002726621,"about_ca_system_score_gemma":7.334746e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009524612,"about_ca_topic_score_gemma":0.00007691799,"domain_scores_codex":[0.9993163,0.00003946681,0.000270017,0.0002183394,0.00003309232,0.000122806],"domain_scores_gemma":[0.9997295,0.00003340905,0.0001737787,0.00003534355,0.000002969354,0.00002503218],"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":[0.00003580536,0.0000792408,0.0384995,0.0000105009,0.0000484691,9.019613e-8,0.0000428132,0.000007357723,0.9601631,0.00006836392,5.506488e-7,0.001044224],"study_design_scores_gemma":[0.0001371728,0.00009412,0.3850079,0.000003170734,0.00005378323,0.000002661115,0.0002174461,0.00001744326,0.6143246,0.00006888429,0.00001538922,0.00005743603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993063,0.0004307719,0.00002444367,0.000006991765,0.00001437295,0.0001141448,0.0000874138,0.000002358169,0.00001318053],"genre_scores_gemma":[0.9984971,0.001397825,0.00001750591,0.00000480724,0.000003681874,0.00000237512,0.00007169289,9.329978e-7,0.000004097049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465084,"threshold_uncertainty_score":0.2221144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0060170806679516,"score_gpt":0.1597143794453096,"score_spread":0.153697298777358,"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."}}