{"id":"W4380680896","doi":"10.1038/s41545-023-00261-x","title":"Transition of antimicrobial resistome in wastewater treatment plants: impact of process configuration, geographical location and season","year":2023,"lang":"en","type":"article","venue":"npj Clean Water","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; JST-Mirai Program; Japan Science and Technology Agency; Japan Society for the Promotion of Science; Kurita Water and Environment Foundation","keywords":"Resistome; Effluent; Wastewater; Sewage treatment; Antimicrobial; Activated sludge; Efflux; Biology; Metagenomics; Antibiotics; Biomass (ecology); Antibiotic resistance; Microbiology; Biotechnology; Environmental engineering; Environmental science; Ecology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009563192,0.00009890136,0.000139979,0.00005929151,0.00002627544,0.000006658778,0.0000450829,0.00005055998,0.0002744067],"category_scores_gemma":[0.00000269834,0.00006170381,0.00003999691,0.0001304059,0.0001974555,0.0001488849,0.00001878269,0.00004061729,0.00005595985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005635455,"about_ca_system_score_gemma":0.000003472658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000326137,"about_ca_topic_score_gemma":0.00003839649,"domain_scores_codex":[0.9992809,0.00003649634,0.0001932143,0.0001672017,0.0001267775,0.0001954567],"domain_scores_gemma":[0.9998142,0.0000112243,0.00003014297,0.00007539728,0.000002949974,0.00006615809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002119505,0.0002597969,0.06990068,0.00006056773,0.00001807863,0.000007117236,0.002122595,0.003499054,0.9221128,0.000001842179,0.00008470911,0.001720797],"study_design_scores_gemma":[0.0005974665,0.000167612,0.3664799,0.00003856721,0.00001073025,0.000004502769,0.00009662939,0.001049882,0.6314105,0.00005883712,0.00001425412,0.00007106204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999357,0.000003205385,0.000006184337,0.0002681023,0.00001320287,0.000164908,0.0000255161,0.00001209833,0.0001497341],"genre_scores_gemma":[0.9997706,0.00006042052,0.00000969988,0.00002684545,0.000007366716,0.000001693022,0.00007083128,0.000007379337,0.00004513572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2965793,"threshold_uncertainty_score":0.300456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602842640999937,"score_gpt":0.2778805095231508,"score_spread":0.2618520831131514,"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."}}