{"id":"W3156109863","doi":"10.1007/s10453-021-09704-9","title":"Bioaerosols in public and tourist buses","year":2021,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Agencia Estatal de Investigación; Ministerio de Ciencia, Tecnología e Innovación Productiva","keywords":"Bioaerosol; Indoor bioaerosol; Biodiversity; Biology; Diesel fuel; Air quality index; Proteobacteria; Environmental science; Ecology; Geography; 16S ribosomal RNA; Bacteria; Waste management; Meteorology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719951,0.0002626805,0.000179999,0.0003423282,0.0003286946,0.0006819223,0.0001629724,0.000466693,0.001732596],"category_scores_gemma":[0.0003750612,0.0001287201,0.0001764506,0.0002541121,0.0002190121,0.0002316462,0.0003075709,0.000269977,0.0002536236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634866,"about_ca_system_score_gemma":0.0003034828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754552,"about_ca_topic_score_gemma":0.0166466,"domain_scores_codex":[0.9998648,0.0000340952,0.000005613931,0.00001875239,0.00002384936,0.00005288988],"domain_scores_gemma":[0.999782,0.00003150451,0.00006344039,0.000006058685,0.00005229325,0.00006465834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0069362,0.0008455498,0.8975148,0.0002228019,0.0001827908,0.0008964809,0.005455221,0.0004556072,0.07031709,0.0002629881,0.0004834335,0.01642704],"study_design_scores_gemma":[0.00001936693,0.002820988,0.978565,0.00002500582,0.00007968325,0.0003604059,0.007488113,0.0003347772,0.008201025,0.00007421278,0.002017888,0.00001349014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993906,0.000259585,0.00001420563,0.00001163827,0.000002580759,0.000002405628,0.00006374809,0.000001139033,0.0002541065],"genre_scores_gemma":[0.998701,0.00017548,0.00002301448,0.0000105639,0.000004205589,0.000003257069,0.0001430641,0.00000167656,0.0009378035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01754552,"threshold_uncertainty_score":0.03488678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001106829968391,"score_gpt":0.2283112057501459,"score_spread":0.208300137450462,"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."}}