{"id":"W2798782349","doi":"10.1101/308825","title":"Fungal Bioaerosols at Five Dairy Farms: A Novel Approach to Describe Workers’ Exposure","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Bioaerosol; Cladosporium; Penicillium; Aspergillus; Environmental health; Aspergillus fumigatus; Biology; Occupational exposure; Biotechnology; Toxicology; Veterinary medicine; Microbiology; Food science; Medicine; Ecology; Geography; Aerosol","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004146702,0.000382998,0.0003002014,0.002239776,0.0009045092,0.001036662,0.0004383902,0.00051521,0.001065425],"category_scores_gemma":[0.0004549907,0.0001480718,0.0002853645,0.001582369,0.0004291788,0.0001757261,0.0006981302,0.000293993,0.0003085233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052636,"about_ca_system_score_gemma":0.001668405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2933255,"about_ca_topic_score_gemma":0.4856152,"domain_scores_codex":[0.9995798,0.0000267125,0.00001667203,0.0000915676,0.000179514,0.0001055965],"domain_scores_gemma":[0.9995623,0.00005784641,0.00007558501,0.00001515678,0.0002394315,0.00004974489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001705225,0.00006648145,0.8477321,0.0002172194,0.00009252165,0.0005813097,0.003309278,0.001272537,0.1238343,0.00015075,0.0003896572,0.02218341],"study_design_scores_gemma":[0.000002470938,0.00007620014,0.9792798,0.00003117272,0.00006038796,0.0002180623,0.005449445,0.002519337,0.009664683,0.00008315541,0.002592018,0.00002334567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893115,0.000355754,0.005312185,0.00004866369,0.000007390471,0.0001129862,0.002359823,0.00004271551,0.002448865],"genre_scores_gemma":[0.9907594,0.0002850551,0.006222884,0.00004781846,0.000004356273,0.00006067327,0.0008915349,0.000008169812,0.001720157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2933255,"threshold_uncertainty_score":0.5832363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119367059095396,"score_gpt":0.2146265248339442,"score_spread":0.1934328542429902,"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."}}