{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002123104,0.0003343118,0.0004490784,0.00003936856,0.0001447556,0.00002141746,0.0001542248,0.000124743,0.0001050319],"category_scores_gemma":[0.00001066761,0.0001932291,0.00003966074,0.00009769134,0.001709661,0.00008193428,0.0002804757,0.0001587166,0.00001546779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311396,"about_ca_system_score_gemma":0.000006277062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006319955,"about_ca_topic_score_gemma":0.0002350095,"domain_scores_codex":[0.9984915,0.00008508829,0.0003513716,0.0005409226,0.0001025012,0.0004285806],"domain_scores_gemma":[0.9991899,0.0002039991,0.0001856362,0.0002740803,8.782528e-7,0.0001455094],"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":[0.0009805671,0.0002444194,0.1514557,0.00004519394,0.00002973298,0.000005818153,0.00008760898,0.00007866569,0.8459536,0.00007178682,0.00001062065,0.001036199],"study_design_scores_gemma":[0.001149672,0.0007761747,0.7878141,0.0001065481,0.00002622005,0.00002867552,0.00006879094,0.0000323992,0.2095645,0.0000188501,0.0001845872,0.0002294812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998743,0.0002093978,0.000004721765,0.00007247807,0.0000129805,0.0003694088,0.0001531139,0.00000752129,0.0004273982],"genre_scores_gemma":[0.998726,0.0007614688,0.0001292178,0.0002165254,0.000006736814,0.000001913259,0.00004210843,0.00002518184,0.00009089308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6363892,"threshold_uncertainty_score":0.7879654,"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."}}