{"id":"W4214848841","doi":"10.1038/s41598-022-07301-5","title":"Viral load of SARS-CoV-2 in droplets and bioaerosols directly captured during breathing, speaking and coughing","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; University of Alberta","funders":"University of Alberta; Natural Sciences and Engineering Research Council of Canada; Alberta Precision Laboratories; Public Health Agency of Canada; World Health Organization","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Indoor bioaerosol; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Sars virus; Betacoronavirus; Breathing; Virology; Viral load; Coronavirus Infections; Medicine; Biology; Virus; Anesthesia; Pathology; Infectious disease (medical specialty); 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":[0.0002597175,0.0002508718,0.0002489495,0.0002130778,0.0001560045,0.0003777825,0.0001457981,0.0003362241,0.001063278],"category_scores_gemma":[0.0004415056,0.0001379406,0.0002012483,0.0001315606,0.0002435255,0.0003548267,0.0002978883,0.0002494883,0.0002675703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202892,"about_ca_system_score_gemma":0.0001002896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007738468,"about_ca_topic_score_gemma":0.0009493722,"domain_scores_codex":[0.9996183,0.00005941742,0.0000241694,0.0001377245,0.0001150645,0.00004517783],"domain_scores_gemma":[0.9998216,0.00004142246,0.0000540213,0.0000155516,0.00004316461,0.00002428172],"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":[0.0003782579,0.00009612008,0.0602215,0.00007446187,0.00003236956,0.0001037748,0.0003128338,0.00007713867,0.9354089,0.00002336814,0.000046564,0.00322482],"study_design_scores_gemma":[0.00001816049,0.00230131,0.5887434,0.00004031794,0.0001122483,0.0005563305,0.001342329,0.001772789,0.4042564,0.0001039898,0.0007197214,0.00003299988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988716,0.0001342546,0.0005087529,0.000009099925,0.000006478995,0.00002050966,0.0001674863,0.000005616104,0.0002762824],"genre_scores_gemma":[0.9979529,0.0001090274,0.0009939147,0.00003124223,0.000007049894,0.00003446215,0.0003842094,0.000004208873,0.000483023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001063278,"threshold_uncertainty_score":0.003557026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693197766147006,"score_gpt":0.2714402628742806,"score_spread":0.2545082852128105,"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."}}