{"id":"W4384493408","doi":"10.1016/j.envres.2023.116603","title":"Dispersion of sneeze droplets in a meat facility indoor environment – Without partitions","year":2023,"lang":"en","type":"article","venue":"Environmental Research","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; BIO (Canada)","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Texas A and M University; U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Environmental science; Airflow; Transmission (telecommunications); Haze; Coronavirus disease 2019 (COVID-19); Airborne transmission; Meteorology; Computer science; Geography; Infectious disease (medical specialty); Engineering; Telecommunications; Medicine; Mechanical engineering","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":[0.0001903342,0.0002389754,0.0002497306,0.0004724436,0.0007967401,0.0008295386,0.0003859618,0.0005387854,0.001928206],"category_scores_gemma":[0.0002964883,0.0001446924,0.0003182531,0.0002768834,0.0005343935,0.000557245,0.0005149296,0.0003135743,0.0004205921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004414027,"about_ca_system_score_gemma":0.0002745015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089797,"about_ca_topic_score_gemma":0.006945184,"domain_scores_codex":[0.9996418,0.00003790949,0.0000164713,0.0001176325,0.00008410059,0.0001021524],"domain_scores_gemma":[0.9997694,0.0000442976,0.0000368196,0.00002730388,0.00007796955,0.00004421998],"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":[0.006532507,0.0009499168,0.177834,0.0001316214,0.000115171,0.003145011,0.00132946,0.002596111,0.7934682,0.0003550462,0.0005574544,0.01298551],"study_design_scores_gemma":[0.0001110061,0.007199084,0.6814722,0.00004498893,0.000155071,0.001765602,0.006801801,0.01290717,0.2870589,0.0004303532,0.001949302,0.000104409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998917,0.0000463519,0.0001950217,0.00001272919,0.0000108802,0.00001197601,0.00009596865,0.000005729951,0.0007043388],"genre_scores_gemma":[0.9987255,0.0000343194,0.0002996352,0.00001155558,0.00001073316,0.000005331324,0.0002319937,0.000003431729,0.0006776005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089797,"threshold_uncertainty_score":0.02166909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743992422755675,"score_gpt":0.347964975872224,"score_spread":0.2905250516446673,"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."}}