{"id":"W4394741806","doi":"10.1139/cjm-2023-0226","title":"Needles in haystacks: monitoring the potential escape of bioaerosolised antibacterial resistance genes from wastewater treatment plants with air and phyllosphere sampling","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Phyllosphere; Biological dispersal; Bioaerosol; Wastewater; Biology; Effluent; Sewage treatment; Ecology; Environmental science; Environmental engineering; Bacteria; Population; Chemistry; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003875472,0.0004705474,0.0004723132,0.000795551,0.0008545707,0.0009794752,0.0004518412,0.0005253172,0.000974098],"category_scores_gemma":[0.0004745929,0.0002252979,0.0003034058,0.0008536995,0.0003346341,0.0003812901,0.0005383706,0.0004587384,0.0005571439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008710755,"about_ca_system_score_gemma":0.001088687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06060088,"about_ca_topic_score_gemma":0.1769481,"domain_scores_codex":[0.9993234,0.00004771495,0.00001940882,0.0002107522,0.0002828813,0.0001157874],"domain_scores_gemma":[0.9994885,0.00005576912,0.0001339227,0.00001706957,0.0002315562,0.00007323173],"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":[0.000327938,0.0002239339,0.4002629,0.0002726281,0.0001040885,0.0003296623,0.001609588,0.0006997506,0.5647529,0.0001754151,0.0007783353,0.03046289],"study_design_scores_gemma":[0.00001355243,0.0004068056,0.9242277,0.00006841576,0.00006718731,0.0003910379,0.002527259,0.00390185,0.06379319,0.0001561745,0.004405174,0.00004170327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892726,0.0003670741,0.00586157,0.00006296875,0.00001575925,0.0001084595,0.002341923,0.00007533326,0.001894341],"genre_scores_gemma":[0.9780452,0.0005887958,0.01464799,0.0002524381,0.00001382029,0.0001392852,0.002638758,0.0000457063,0.003627834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06060088,"threshold_uncertainty_score":0.1204963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624911100082285,"score_gpt":0.2285165850162942,"score_spread":0.2122674740154714,"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."}}