{"id":"W2033031628","doi":"10.1016/j.atmosenv.2015.03.039","title":"Non-culturable bioaerosols in indoor settings: Impact on health and molecular approaches for detection","year":2015,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research","keywords":"Indoor bioaerosol; Bioaerosol; Microorganism; Human health; Environmental science; Environmental health; Biology; Microbiology; Bacteria; Ecology; Medicine; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005082932,0.0002022218,0.0002162593,0.00000292928,0.00009956828,0.0000268213,0.0001019354,0.00009417603,0.00004999696],"category_scores_gemma":[0.0000203289,0.0001664426,0.00006019596,0.0001023387,0.0001142527,0.0001260667,0.00008059742,0.000131092,0.0000917521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007379034,"about_ca_system_score_gemma":0.00001807582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006283628,"about_ca_topic_score_gemma":0.00004234342,"domain_scores_codex":[0.9987072,0.00006974404,0.0002443981,0.0004046329,0.0001945382,0.0003794935],"domain_scores_gemma":[0.9994375,0.00002417713,0.0001109732,0.0001999619,0.000001474313,0.0002258727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002858898,0.003182335,0.1910633,0.0003489248,0.0002215136,0.00003371156,0.03597164,0.2900608,0.1044274,0.000228639,0.0174766,0.3541263],"study_design_scores_gemma":[0.04177384,0.04643245,0.2787891,0.0006590979,0.0001891138,0.0002358255,0.03203119,0.1375752,0.2008807,0.007258159,0.2463362,0.007839217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928575,0.0001444873,0.004674556,0.0008781876,0.00004678429,0.0009280584,0.000007416213,0.0000183994,0.0004446192],"genre_scores_gemma":[0.9921604,0.00003737428,0.006300676,0.001168497,0.00001861664,0.0001129437,0.00001544041,0.00002141786,0.0001646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3462871,"threshold_uncertainty_score":0.6787334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867921793505554,"score_gpt":0.2361327471640405,"score_spread":0.217453529228985,"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."}}