{"id":"W2910136455","doi":"10.1007/s10453-019-09562-6","title":"Quantification of airborne dust, endotoxins, human pathogens and antibiotic and metal resistance genes in Eastern Canadian swine confinement buildings","year":2019,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Agriculture and Agri-Food Canada; Agrivita Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Resistome; Pathogenic bacteria; Antibiotic resistance; Microbiology; Acinetobacter baumannii; Colistin; Listeria monocytogenes; Bioaerosol; Staphylococcus aureus; Salmonella; Biology; Veterinary medicine; Antibiotics; Bacteria; Medicine; Chemistry; Pseudomonas aeruginosa; Aerosol; Integron","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":[0.0003028004,0.0003592209,0.0002265605,0.001077866,0.002061717,0.001111816,0.0005047827,0.0002416425,0.0006096082],"category_scores_gemma":[0.0003347085,0.0002092463,0.0002273074,0.001442352,0.0007549216,0.0001467393,0.0003606839,0.0002251232,0.0001608642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006787348,"about_ca_system_score_gemma":0.006304881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9514751,"about_ca_topic_score_gemma":0.9795333,"domain_scores_codex":[0.9993607,0.00003142235,0.00002282341,0.00011741,0.0002967886,0.0001707919],"domain_scores_gemma":[0.9994981,0.00002623304,0.00005243549,0.00001047063,0.0003291689,0.00008348856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003528215,0.000126481,0.8953872,0.00007054558,0.00006267929,0.0001931686,0.001948156,0.0007938759,0.08779735,0.0001611508,0.0003517813,0.01275476],"study_design_scores_gemma":[0.000001494121,0.00004723883,0.9952586,0.000006312227,0.000010307,0.00002988228,0.001042714,0.0002499399,0.002750195,0.000007741442,0.0005895654,0.00000594975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998553,0.00006779026,0.000217274,0.000009624639,0.000001652421,0.00001301602,0.0003859342,0.000004963476,0.0007468559],"genre_scores_gemma":[0.9967283,0.0001248541,0.0006945134,0.00002043273,0.000001582381,0.00001221709,0.0006254333,0.000003701963,0.001788956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04852492,"threshold_uncertainty_score":0.09762132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354547472196902,"score_gpt":0.2228911804020919,"score_spread":0.2093457056801229,"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."}}