{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247195,0.00008383563,0.0002067222,0.0001957222,0.0002585042,0.00006165809,0.00002012565,0.0000298941,0.00002266448],"category_scores_gemma":[0.0001144923,0.0000811229,0.00004016085,0.0002580587,0.0001002994,0.0001387338,0.00008252838,0.0001435905,3.45744e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009773103,"about_ca_system_score_gemma":0.00007956384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004842794,"about_ca_topic_score_gemma":0.0001194052,"domain_scores_codex":[0.998654,0.00004064696,0.000378187,0.0003839518,0.0003825014,0.0001607002],"domain_scores_gemma":[0.9994374,0.00001423829,0.0002392517,0.0002045561,0.00007306042,0.00003150998],"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":[0.00005084187,0.00005475785,0.1135649,0.00007956329,0.00001220452,0.0005616662,0.002821549,0.00004480551,0.8819789,0.00001120053,0.00007487269,0.0007447983],"study_design_scores_gemma":[0.002953596,0.0001846582,0.3310187,0.0003870017,0.0001225111,0.00857876,0.0008844694,0.006018944,0.6418342,0.0009743343,0.00664177,0.0004010086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970736,0.0003700164,0.00007439591,0.00008702642,0.001415098,0.0002617935,0.000001636811,0.00002537476,0.0006910877],"genre_scores_gemma":[0.9994619,0.000002507243,0.00006422139,0.00002745186,0.00003437224,0.000011005,0.000009935729,0.000008652071,0.0003798762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2401446,"threshold_uncertainty_score":0.3308096,"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."}}