{"id":"W3196980640","doi":"10.1007/s40201-021-00732-8","title":"Assessment of fungal bioaerosols and particulate matter characteristics in indoor and outdoor air of veterinary clinics","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Health Science and Engineering","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Vice-Chancellor for Research, Shiraz University of Medical Sciences","keywords":"Indoor bioaerosol; Veterinary medicine; Medicine; Indoor air; Bioaerosol; Occupational exposure; Toxicology; Environmental health; Environmental science; Environmental engineering; Biology; Aerosol; Geography; Ecology; Meteorology","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":[0.0002008377,0.0002036366,0.000233952,0.0004376922,0.0002246309,0.0006763054,0.0001377657,0.0003024208,0.0008868521],"category_scores_gemma":[0.0004722873,0.0001378126,0.0001494013,0.0003920259,0.0001946722,0.0001589868,0.0002519863,0.000204419,0.0001933458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589865,"about_ca_system_score_gemma":0.0002504784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003254067,"about_ca_topic_score_gemma":0.004305144,"domain_scores_codex":[0.9996406,0.00006792231,0.00002884471,0.00008783281,0.000105889,0.00006884798],"domain_scores_gemma":[0.9997004,0.00006894278,0.00009228828,0.00000999818,0.00006633097,0.00006203007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008592959,0.0002770918,0.8459929,0.0001031904,0.00006806552,0.0004766574,0.001235041,0.0001807601,0.136098,0.00005355133,0.00008537149,0.01457005],"study_design_scores_gemma":[0.000006722501,0.001311591,0.9750286,0.00001462981,0.00006289058,0.0007358161,0.002367712,0.000457255,0.01940028,0.00002996411,0.0005737155,0.0000108569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999369,0.0001902995,0.0001079151,0.00000693534,0.000002218975,0.000005085004,0.0000760585,0.000001750564,0.0002407922],"genre_scores_gemma":[0.9993376,0.0001040958,0.0001569479,0.00001220098,0.000002763112,0.000003543361,0.00009694172,0.000001347915,0.0002846508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003254067,"threshold_uncertainty_score":0.006470203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474581163520109,"score_gpt":0.2818892368392825,"score_spread":0.2671434252040814,"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."}}