{"id":"W4313473521","doi":"10.3390/buildings13010102","title":"Multizone Modeling of Airborne SARS-CoV-2 Quanta Transmission and Infection Mitigation Strategies in Office, Hotel, Retail, and School Buildings","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Institute of Standards and Technology; U.S. Department of Energy","keywords":"Occupancy; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Airborne transmission; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Infection risk; Architectural engineering; Duct (anatomy); Air conditioning; HVAC; Airflow; Environmental science; Civil engineering; Engineering; Telecommunications; Infectious disease (medical specialty); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704166,0.000138902,0.0002728343,0.0003662648,0.0001646676,0.000033455,0.00002770795,0.00008419157,0.0000438171],"category_scores_gemma":[0.00006421916,0.0001433199,0.0000526166,0.0003276797,0.00004210089,0.0003795463,0.00003492702,0.0002949352,8.97966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008289113,"about_ca_system_score_gemma":0.00006823264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137426,"about_ca_topic_score_gemma":0.00003987329,"domain_scores_codex":[0.9988719,0.00005727375,0.000389668,0.0002877662,0.0002338293,0.0001595485],"domain_scores_gemma":[0.9995812,0.00003414849,0.0001414183,0.00009751084,0.00009291738,0.00005286972],"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":[0.001294292,0.0002533413,0.06114359,0.0004039224,0.00004592506,0.000007784392,0.0008089439,0.009259865,0.9081494,0.001269335,0.00006239807,0.01730125],"study_design_scores_gemma":[0.007356393,0.001167919,0.1353304,0.0004873318,0.0002028795,0.0001860239,0.0007819048,0.8032529,0.04682237,0.001253456,0.002760311,0.0003981415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605175,0.0003989922,0.03814328,0.0002171717,0.00006993522,0.0003999874,0.000003534914,0.00005981562,0.0001898319],"genre_scores_gemma":[0.998118,0.0001922416,0.001448692,0.00009746989,0.00004308966,0.00003017965,0.00001980467,0.0000190045,0.00003152849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.861327,"threshold_uncertainty_score":0.5844418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354398415954172,"score_gpt":0.2843136455322881,"score_spread":0.2607696613727464,"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."}}