{"id":"W2938454391","doi":"10.3390/ijerph16081375","title":"Bioaerosols Play a Major Role in the Nasopharyngeal Microbiota Content in Agricultural Environment","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Agriculture and Agri-Food Canada; Fonds de recherche du Québec – Nature et technologies; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Indoor bioaerosol; Bioaerosol; Environmental health; Veterinary medicine; Biology; Flora (microbiology); Toxicology; Medicine; Bacteria; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002994207,0.0003577488,0.0003552123,0.0005421325,0.0004010473,0.0007944177,0.0001884316,0.0004324272,0.001264177],"category_scores_gemma":[0.0004031803,0.0001468464,0.0003365907,0.0004493223,0.0003813266,0.0003103512,0.0004508639,0.000254306,0.0002564645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733817,"about_ca_system_score_gemma":0.0003409365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006092,"about_ca_topic_score_gemma":0.002202553,"domain_scores_codex":[0.9995765,0.00006507401,0.00003502537,0.0001405969,0.0001166071,0.00006618627],"domain_scores_gemma":[0.9996057,0.0000633783,0.0001704219,0.00002449702,0.00008889336,0.00004710369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005332177,0.0001940497,0.5196288,0.0003833627,0.0001209503,0.0003312694,0.0008444196,0.0001226471,0.458845,0.00010521,0.000148291,0.01874279],"study_design_scores_gemma":[0.000003730964,0.0004195511,0.9686183,0.00003794697,0.00009569043,0.000497098,0.001215621,0.0002043363,0.02752638,0.0001509361,0.001219403,0.00001106804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997041,0.001091468,0.0007349146,0.00004595615,0.00001105382,0.00001480387,0.0003377011,0.000009533098,0.0007135969],"genre_scores_gemma":[0.9977522,0.000494487,0.0009099094,0.00003195784,0.00000963113,0.00001498011,0.0003195103,0.000006116853,0.0004612547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002006092,"threshold_uncertainty_score":0.004229128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432830663062843,"score_gpt":0.3063646444990125,"score_spread":0.2620363378683841,"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."}}