{"id":"W2269244571","doi":"10.1038/srep15557","title":"The nasopharyngeal microbiota of feedlot cattle","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Feedlot; Moraxella; Microbiology; Biology; Firmicutes; Mycoplasma; Bacteria; Veterinary medicine; Medicine; 16S ribosomal RNA; Animal science","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":[0.001539767,0.00008371856,0.0001304098,0.00009227968,0.0004936818,0.00009016769,0.0001660775,0.00007646499,0.0002717678],"category_scores_gemma":[0.0002416864,0.00005515599,0.00009143927,0.0003261297,0.0009116091,0.00006367185,0.0001355712,0.0001247118,0.0003779946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003653032,"about_ca_system_score_gemma":0.0004174293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720894,"about_ca_topic_score_gemma":0.00004750948,"domain_scores_codex":[0.9988666,0.0001072994,0.0003330951,0.0003153493,0.00006980444,0.0003078301],"domain_scores_gemma":[0.9987116,0.00005694424,0.0001476154,0.0006729857,0.0003535066,0.00005727585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000250244,0.00009235727,0.0009484817,0.000006565048,0.0000375289,0.000009570406,0.0001197295,0.00001981728,0.684371,0.0002451315,0.3131666,0.0009582359],"study_design_scores_gemma":[0.0002952402,0.00005261389,0.0007126689,0.00001503311,0.00001841838,0.0005210799,0.0002174131,0.000001393487,0.4403366,0.001607065,0.556118,0.0001044304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975481,0.00632846,0.00002055033,0.0002403291,0.01142713,0.0002577882,0.00001296953,0.00004071972,0.00619105],"genre_scores_gemma":[0.9763217,0.00001155522,0.00001549341,0.00000939906,0.0000236325,0.000009127724,0.00007025087,0.00000725734,0.02353157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440344,"threshold_uncertainty_score":0.4858482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785042349667462,"score_gpt":0.2847355442255029,"score_spread":0.2568851207288283,"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."}}