{"id":"W4384340742","doi":"10.3390/microorganisms11071797","title":"Contribution of Manure-Spreading Operations to Bioaerosols and Antibiotic Resistance Genes’ Emission","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; 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; Natural Sciences and Engineering Research Council of Canada; Agrivita Canada; Fonds de recherche du Québec – Nature et technologies; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Indoor bioaerosol; Manure; Antibiotic resistance; Biotechnology; Antibiotics; Environmental science; Microbiology; Biology; Waste management; Agronomy; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002909218,0.00009655929,0.0001355572,0.00003659141,0.0002157678,0.00002908317,0.0001164771,0.0000769114,0.0001702313],"category_scores_gemma":[0.00005838287,0.00009371603,0.0000251498,0.0003905712,0.00009351994,0.00009312284,0.0001450814,0.00005858207,0.0004017947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000632652,"about_ca_system_score_gemma":0.000009088565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045266,"about_ca_topic_score_gemma":0.0002804683,"domain_scores_codex":[0.9991832,0.00004706287,0.0002034509,0.0002430047,0.0001081885,0.0002151091],"domain_scores_gemma":[0.9996812,0.00002205538,0.0000333435,0.0001664971,0.00001701182,0.0000798794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001194854,0.00001694787,0.002150513,0.00001185598,0.000003606664,0.000002741743,0.0007074845,0.00009676595,0.9926419,0.0002419637,0.003649909,0.0004644179],"study_design_scores_gemma":[0.0002148244,0.00003802315,0.01218113,0.00004590426,0.000008456296,0.00000406076,0.0001331837,0.00002387207,0.9818175,0.00008410739,0.00532746,0.0001215001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997047,0.00005126779,0.001242082,0.0008916545,0.00009210555,0.0002533652,0.00003968016,0.00005598415,0.0003268284],"genre_scores_gemma":[0.9954862,0.00002764862,0.001444049,0.0002267754,0.00001947653,0.000001951984,0.00003417311,0.00001171806,0.00274798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082437,"threshold_uncertainty_score":0.5164392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369752488628367,"score_gpt":0.2369762282378524,"score_spread":0.227606475749224,"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."}}