{"id":"W1972548672","doi":"10.3201/eid1907.120871","title":"Influence of Humans on Evolution and Mobilization of Environmental Antibiotic Resistome","year":2013,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Resistome; Antibiotic resistance; Public health; Biology; Antibiotics; Mobilization; Infectious disease (medical specialty); Disease; Intensive care medicine; Environmental health; Microbiology; Medicine; Political science; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00004501162,0.0001226044,0.0001391163,0.00004961701,0.00008186928,0.000007332762,0.00006986659,0.00003358661,0.0006489556],"category_scores_gemma":[0.00003991781,0.0001111195,0.00004243768,0.0001129471,0.0004479559,0.000263266,0.00009358612,0.00005287747,0.0001141517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009609111,"about_ca_system_score_gemma":0.000003370177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618057,"about_ca_topic_score_gemma":0.000004485268,"domain_scores_codex":[0.9991472,0.00004343045,0.0002103491,0.0002103753,0.0002209974,0.0001676477],"domain_scores_gemma":[0.9995777,0.00004213606,0.0001109917,0.0001441628,0.000002376935,0.0001226085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007409129,0.0003898843,0.7709206,0.00003551321,0.00001006639,6.023207e-7,0.00005726474,0.01473028,0.2126323,0.00007313585,0.00005442465,0.001088527],"study_design_scores_gemma":[0.0002533582,0.0001738176,0.9858247,0.00004628729,0.00003158251,0.000001776395,0.00003852938,0.0006172367,0.01235224,0.0005240433,0.00002336093,0.0001130858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982315,0.0000952917,0.00003707026,0.00002634487,0.00002416164,0.0002076529,0.00001976297,0.00002523931,0.001333014],"genre_scores_gemma":[0.9997293,0.0000912602,0.00001820157,0.00007041305,0.000008949629,0.000002543771,0.000004925551,0.00001037449,0.00006397525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2149041,"threshold_uncertainty_score":0.7105609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006044363638660554,"score_gpt":0.2361268441411491,"score_spread":0.2300824805024885,"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."}}