{"id":"W2790026127","doi":"10.1016/j.scitotenv.2018.02.083","title":"Antibiotic resistance along an urban river impacted by treated wastewaters","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Economy, Trade and Industry; Institut national de la recherche scientifique","keywords":"Tetracycline; Bacteria; Antibiotic resistance; Antibiotics; Microbiology; Integron; Biology; Nalidixic acid; Sewage; Heterotroph; Escherichia coli; Veterinary medicine; Environmental science; Environmental engineering; Medicine; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002006614,0.0003027793,0.0006649855,0.0009581138,0.002121197,0.001941001,0.0004896541,0.001154811,0.0009334107],"category_scores_gemma":[0.0003688004,0.0004286075,0.0005003256,0.001625777,0.0008982479,0.0003720845,0.0007786175,0.0004530466,0.0001947752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492477,"about_ca_system_score_gemma":0.001321925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04203439,"about_ca_topic_score_gemma":0.05725045,"domain_scores_codex":[0.9994906,0.0001023398,0.00004035707,0.000105584,0.0001456953,0.0001153091],"domain_scores_gemma":[0.9996753,0.00005484531,0.00007545116,0.00001528004,0.0001310548,0.00004813237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002529191,0.00134407,0.6927437,0.000271996,0.0002538558,0.01564185,0.005825717,0.01082997,0.2472704,0.00120798,0.0008077361,0.02127355],"study_design_scores_gemma":[0.0000718568,0.001647327,0.9379773,0.00003708895,0.0001940865,0.002335883,0.01470126,0.01003392,0.02886552,0.0004940546,0.00355482,0.00008687918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989212,0.00002365312,0.0001140555,0.00004158602,0.000003040072,0.00001061448,0.0001022922,0.000004898635,0.0007786485],"genre_scores_gemma":[0.9983379,0.00006172703,0.000243806,0.00002204983,0.000002808071,0.000009070427,0.0001209472,0.000003213996,0.001198405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04203439,"threshold_uncertainty_score":0.08357942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242021502768018,"score_gpt":0.2376994673742907,"score_spread":0.2252792523466105,"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."}}