{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938751,0.0004759264,0.000242077,0.0006659847,0.0001781958,0.0003340865,0.0001667321,0.0003056798,0.0002877931],"category_scores_gemma":[0.0002907912,0.000257043,0.0002121569,0.000239733,0.0002450796,0.0002223975,0.0002005725,0.000223647,0.0001649676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329196,"about_ca_system_score_gemma":0.0001231184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351432,"about_ca_topic_score_gemma":0.00197708,"domain_scores_codex":[0.9997541,0.00003173098,0.00002780626,0.0001042159,0.00004212444,0.0000401176],"domain_scores_gemma":[0.9996737,0.0000559182,0.0001284352,0.00001181875,0.00007080382,0.00005928328],"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":[0.0002063786,0.00003160716,0.01545675,0.00006956338,0.00001390197,0.00005247671,0.00009895544,0.00002966074,0.9814793,0.000009621776,0.00001150157,0.00254017],"study_design_scores_gemma":[0.00001488215,0.002343565,0.6055996,0.00003555498,0.0001273898,0.001008733,0.0005270376,0.0008492071,0.38811,0.00002566479,0.001333712,0.000024595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973476,0.0006189657,0.001391639,0.00001090886,0.000004807357,0.00002206511,0.0002701292,0.00001757093,0.0003164184],"genre_scores_gemma":[0.9876203,0.0009387022,0.009287278,0.00004089581,0.000006220255,0.00005704906,0.001106888,0.00001709666,0.0009254785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001351432,"threshold_uncertainty_score":0.002687097,"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."}}