{"id":"W2029363700","doi":"10.1128/aem.02389-14","title":"Impact of Fertilizing with Raw or Anaerobically Digested Sewage Sludge on the Abundance of Antibiotic-Resistant Coliforms, Antibiotic Resistance Genes, and Pathogenic Bacteria in Soil and on Vegetables at Harvest","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Agriculture and Agri-Food Canada","funders":"","keywords":"Biosolids; Biology; Antibiotic resistance; Sewage; Sewage sludge; Pathogenic bacteria; Biotechnology; Bacteria; Fecal coliform; Antibiotics; Coliform bacteria; Agronomy; Veterinary medicine; Food science; Microbiology; Environmental science; Ecology; Water quality; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002922467,0.000458177,0.0004701111,0.0002790742,0.0002735743,0.0006887343,0.0003155798,0.0004434202,0.001070536],"category_scores_gemma":[0.0005179538,0.0002099231,0.0003468549,0.0002549731,0.0004063635,0.0002160413,0.0003420188,0.0003161881,0.000197758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005703739,"about_ca_system_score_gemma":0.0006729079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00331492,"about_ca_topic_score_gemma":0.007160371,"domain_scores_codex":[0.9995375,0.0001046833,0.00004054371,0.0001210202,0.0001187502,0.0000774996],"domain_scores_gemma":[0.9992756,0.0002124114,0.0002254369,0.00003909481,0.0001049159,0.0001425796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008980732,0.000125024,0.005837816,0.000105909,0.00002473483,0.00009838861,0.0000618482,0.0001695962,0.9900826,0.00001508241,0.00001154991,0.002569356],"study_design_scores_gemma":[0.00006057979,0.01505783,0.1939427,0.00005094135,0.0001685667,0.0002973393,0.0009421047,0.001145968,0.7865461,0.00009725495,0.001645283,0.00004522883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993522,0.00009972774,0.00019446,0.00001057493,0.000005014465,0.00001717296,0.00006974632,0.000006461115,0.0002447158],"genre_scores_gemma":[0.9973586,0.0002357625,0.001138413,0.00003211072,0.000004051461,0.00002552121,0.0001862609,0.000008432215,0.001010692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00331492,"threshold_uncertainty_score":0.00659126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017485594576279,"score_gpt":0.213914907102209,"score_spread":0.2037400511564462,"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."}}