{"id":"W2030808268","doi":"10.1128/aem.07661-11","title":"Characterization of Bioaerosols from Dairy Barns: Reconstructing the Puzzle of Occupational Respiratory Diseases by Using Molecular Approaches","year":2012,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Bioaerosol; Indoor bioaerosol; Biology; Microbiome; Microbiology; 16S ribosomal RNA; Biotechnology; Veterinary medicine; Bacteria; Ecology; Medicine; Chemistry; Bioinformatics","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":[0.0002372346,0.0003673118,0.0003698751,0.0005117559,0.0002112173,0.0006234314,0.000280207,0.0005795156,0.0002619415],"category_scores_gemma":[0.0003646756,0.0001590201,0.0002331972,0.0004181213,0.0004014895,0.0005487757,0.000368972,0.0004792929,0.0002362658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080756,"about_ca_system_score_gemma":0.0001963516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007905847,"about_ca_topic_score_gemma":0.000928656,"domain_scores_codex":[0.9998276,0.00002219013,0.00001454498,0.00005256074,0.00005434733,0.00002865048],"domain_scores_gemma":[0.9997892,0.0000574874,0.00006184325,0.00001645577,0.00005112182,0.00002384945],"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":[0.00004383339,0.00002051665,0.009345355,0.00007113288,0.000008331831,0.0000627439,0.0001403364,0.00005989389,0.9865131,0.00004575045,0.00001064058,0.003678319],"study_design_scores_gemma":[0.000009412103,0.0006705583,0.4121577,0.00008353764,0.000109693,0.00177263,0.002201673,0.002085792,0.5738892,0.0008068291,0.006180545,0.00003253094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915138,0.002213328,0.005250179,0.0001015794,0.0000123776,0.00002329302,0.0004619027,0.00001644534,0.000407059],"genre_scores_gemma":[0.9846376,0.002163901,0.01115623,0.000107627,0.00002289672,0.00003788932,0.001224215,0.00001373333,0.0006359301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007905847,"threshold_uncertainty_score":0.001572013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422597056000903,"score_gpt":0.2095567481584925,"score_spread":0.1853307775984835,"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."}}