{"id":"W3047375855","doi":"10.1063/5.0021427","title":"The dispersion of spherical droplets in source–sink flows and their relevance to the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Commonwealth Scholarship Commission","keywords":"Physics; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Mechanics; Dispersion (optics); Sink (geography); Classical mechanics; Virology; Optics; Medicine; Infectious disease (medical specialty); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586654,0.00006045807,0.0001486699,0.00000716074,0.00005741643,0.00000451999,0.00005177594,0.00002389423,0.000006512721],"category_scores_gemma":[0.0002593083,0.00003179256,0.0000522729,0.0001690076,0.00005212943,0.00002911839,0.00003353593,0.00009654859,0.000003269897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002185583,"about_ca_system_score_gemma":0.00003649413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004997912,"about_ca_topic_score_gemma":0.00002085081,"domain_scores_codex":[0.9995187,0.00004118117,0.0001555628,0.00009821131,0.0001065148,0.00007982969],"domain_scores_gemma":[0.9995143,0.0002190943,0.00004125647,0.0001199407,0.00004088557,0.00006449244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001881728,0.000218339,0.2397567,0.0002752863,0.00009256871,0.000001779436,0.01498883,0.004676666,0.5465754,0.001915544,0.002722396,0.1868948],"study_design_scores_gemma":[0.007103817,0.001934327,0.09481594,0.0002121272,0.0001730277,0.00002278456,0.00211157,0.571516,0.01953205,0.003485623,0.2986943,0.0003985163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799355,0.000324193,0.1081643,0.01111784,0.00005688108,0.0002753441,0.000004013323,0.0000153541,0.0001065586],"genre_scores_gemma":[0.9982611,0.0000953807,0.00005979609,0.001383887,0.0001583902,0.000006154039,0.000002543479,0.000006170442,0.00002660149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668393,"threshold_uncertainty_score":0.1296463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988633868362118,"score_gpt":0.2824587825678623,"score_spread":0.2525724438842411,"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."}}