{"id":"W4225898620","doi":"10.1021/acs.est.1c06531","title":"Practical Indicators for Risk of Airborne Transmission in Shared Indoor Environments and Their Application to COVID-19 Outbreaks","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Economic and Social Research Council; Canadian Institutes of Health Research; Wellcome Trust; National Science Foundation","keywords":"Outbreak; Airborne transmission; Transmission (telecommunications); Measles; Environmental science; Environmental health; Aerosol; Coronavirus disease 2019 (COVID-19); Attack rate; Medicine; Meteorology; Virology; Infectious disease (medical specialty); Geography; Disease; Computer science; Vaccination; Telecommunications","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":[0.000581765,0.00008600124,0.0001531111,0.0006863264,0.0002622375,0.000003540029,0.0001024389,0.00007056136,0.0001228574],"category_scores_gemma":[0.0001083604,0.00007613454,0.00002923092,0.0005889741,0.0004028713,0.00008425408,0.0001349256,0.0001871364,0.000003594262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004340263,"about_ca_system_score_gemma":0.00005916981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001902313,"about_ca_topic_score_gemma":0.00000210003,"domain_scores_codex":[0.9990036,0.00002836961,0.0002140316,0.0003564259,0.0002097392,0.0001877903],"domain_scores_gemma":[0.9995241,0.00004496771,0.0001272838,0.0001726165,0.000001551061,0.0001294579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000446923,0.0006973348,0.4785869,0.00001405409,0.00001405518,0.000002308225,0.0007992607,0.0004110732,0.389684,0.000503406,0.00002939748,0.1288113],"study_design_scores_gemma":[0.004226792,0.002283592,0.7907688,0.000009855656,0.00006430852,0.0001061401,0.002338019,0.01216101,0.08098456,0.001179715,0.1056355,0.0002417106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8498206,0.00004017169,0.1455958,0.003293207,0.00002495551,0.001121049,0.00004980795,0.00002445619,0.00002997015],"genre_scores_gemma":[0.9978174,0.00002447142,0.001412139,0.0002758795,0.000006784017,0.0004100187,0.00002084777,0.000007107276,0.00002535959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121819,"threshold_uncertainty_score":0.3104677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008917749250232308,"score_gpt":0.2802605176631917,"score_spread":0.2713427684129594,"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."}}