{"id":"W1024821521","doi":"10.1016/j.vetmic.2015.07.031","title":"The nasopharyngeal microbiota of feedlot cattle that develop bovine respiratory disease","year":2015,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":134,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency","keywords":"Bovine respiratory disease; Biology; Feedlot; Firmicutes; Veterinary medicine; Bacterial phyla; Microbiology; Pasteurella multocida; UniFrac; Actinobacteria; Beef cattle; Paratuberculosis; Animal science; 16S ribosomal RNA; Bacteria; Medicine","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":[0.0002271789,0.0002181056,0.0003120831,0.000439222,0.0007995254,0.000888921,0.0001349505,0.0004820996,0.001017523],"category_scores_gemma":[0.0005803978,0.0001872969,0.0001377262,0.0002410999,0.0004340974,0.0003800494,0.0003235586,0.0003224654,0.0001905755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503529,"about_ca_system_score_gemma":0.0003519482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008734313,"about_ca_topic_score_gemma":0.01203516,"domain_scores_codex":[0.9997126,0.00004572384,0.0000122976,0.00004303049,0.00006581282,0.0001205521],"domain_scores_gemma":[0.9997908,0.00002775074,0.0000459419,0.00000789889,0.00004615137,0.00008146951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002973506,0.0004584726,0.5024988,0.00009475457,0.00007029035,0.001551438,0.003301954,0.00009771253,0.4778429,0.0001517966,0.0002970968,0.0106612],"study_design_scores_gemma":[0.00001164061,0.000603141,0.9849103,0.00001608286,0.00003559876,0.001578113,0.005385214,0.0002090125,0.006568184,0.00005628088,0.0006192854,0.00000711834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999603,0.0001037634,0.00002356894,0.00001583394,0.000002905241,0.000002284487,0.00003510361,6.838746e-7,0.0002129618],"genre_scores_gemma":[0.9992166,0.0001711184,0.00004740028,0.00004091213,0.00000473297,0.000003857018,0.0001039945,0.000001211692,0.0004101284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008734313,"threshold_uncertainty_score":0.01736695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08209418499273541,"score_gpt":0.3106282900732833,"score_spread":0.2285341050805479,"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."}}