{"id":"W4205273121","doi":"10.1007/s10453-021-09732-5","title":"Microbial composition of bioaerosols in indoor wastewater treatment plants","year":2022,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Bioaerosol; Sewage treatment; Wastewater; Environmental science; Sewage; Amplicon sequencing; Contamination; Actinobacteria; Microorganism; Biology; Waste management; Ecology; Environmental engineering; Bacteria; 16S ribosomal RNA; Chemistry; Aerosol","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001786399,0.0003679872,0.0002980926,0.0004589363,0.0002657401,0.000628376,0.0001865094,0.0003900978,0.0006434482],"category_scores_gemma":[0.000313845,0.0001546958,0.0002149406,0.0003665387,0.0002511403,0.0002598902,0.0002437996,0.0002915295,0.0001705767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803032,"about_ca_system_score_gemma":0.000293805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003803415,"about_ca_topic_score_gemma":0.002345685,"domain_scores_codex":[0.9997292,0.00004160851,0.00002075106,0.00006352095,0.00007580121,0.00006912503],"domain_scores_gemma":[0.9998343,0.00003388715,0.00003281084,0.000005962779,0.00006306476,0.00003005401],"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":[0.0003597392,0.00007063291,0.01018931,0.00006295896,0.0000239134,0.00006092045,0.0001705678,0.0002616342,0.9858613,0.00006704428,0.00003480292,0.002837334],"study_design_scores_gemma":[0.0000193075,0.0009653454,0.2083187,0.00003015946,0.000075164,0.000215625,0.001438409,0.002188025,0.7855636,0.0001880657,0.0009693113,0.00002830832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989725,0.0002022791,0.000242893,0.00001174804,0.000004205449,0.000005474493,0.0002111268,0.000004318156,0.0003454973],"genre_scores_gemma":[0.9987798,0.0001557008,0.0001710503,0.00001258682,0.000004330233,0.000007335977,0.0003136178,0.00000495555,0.0005505324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003803415,"threshold_uncertainty_score":0.007562518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501857192597383,"score_gpt":0.2243717991337683,"score_spread":0.2093532272077945,"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."}}