{"id":"W3209759517","doi":"10.21203/rs.3.rs-1022179/v1","title":"Evaluating the Effects of Antimicrobial Drug Use On the Ecology of Antimicrobial Resistance and Microbial Community Structure in Beef Feedlot Cattle","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Agriculture and Agri-Food Canada","funders":"Beef Cattle Research Council; National Institute of Food and Agriculture; Alberta Beef Producers; U.S. Department of Agriculture","keywords":"Antimicrobial; Feedlot; Antimicrobial drug; Beef cattle; Antibiotic resistance; Biotechnology; Microbial population biology; Biology; Ecology; Antibiotics; Microbiology; Bacteria; Animal science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006956987,0.0003268618,0.0003235167,0.0008915281,0.0006144767,0.001079331,0.0002978059,0.0004103225,0.0009167172],"category_scores_gemma":[0.0008053305,0.0001933457,0.0002552884,0.0007600217,0.00038933,0.0003172813,0.0003313001,0.0003243697,0.0001561711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296427,"about_ca_system_score_gemma":0.0005961975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03128726,"about_ca_topic_score_gemma":0.06447541,"domain_scores_codex":[0.9992611,0.0001615916,0.00003114921,0.0001984179,0.0001899218,0.0001578891],"domain_scores_gemma":[0.9990994,0.0001697889,0.0002867397,0.00002764684,0.0002417902,0.0001746378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001239119,0.0002941338,0.8706321,0.0001422357,0.0002152666,0.0001444737,0.0007702488,0.0002714967,0.1122661,0.00004612765,0.0001855926,0.01379328],"study_design_scores_gemma":[0.000004282915,0.0006565956,0.9924909,0.00001991778,0.00005458488,0.0000787837,0.0007462065,0.0003790261,0.005114128,0.00002051322,0.0004270398,0.000007980026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987393,0.0001870687,0.0001902575,0.00002166462,0.00000254311,0.0000096044,0.0006898207,0.000003481404,0.000156297],"genre_scores_gemma":[0.9972869,0.0002372968,0.0009111975,0.00008188403,0.000006764729,0.00002146151,0.0009586177,0.000004122863,0.0004917167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03128726,"threshold_uncertainty_score":0.06221026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0772866867757797,"score_gpt":0.3902574404705844,"score_spread":0.3129707536948047,"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."}}