{"id":"W3174272876","doi":"10.3390/buildings11070282","title":"COVID-19: Research Directions for Non-Clinical Aerosol-Generating Facilities in the Built Environment","year":2021,"lang":"en","type":"article","venue":"Buildings","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerosol; Airborne transmission; Transmission (telecommunications); Air quality index; Bespoke; Coronavirus disease 2019 (COVID-19); Personal protective equipment; Business; Environmental science; Environmental health; Engineering; Medicine; Meteorology; Telecommunications; Geography; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002390407,0.00007350685,0.0001647515,0.00008086906,0.0003801257,0.00004837299,0.00005503346,0.00008623458,0.0003055158],"category_scores_gemma":[0.003159519,0.00005646211,0.0001284263,0.0001891179,0.00008688516,0.00005342842,0.00003560192,0.0002923574,0.00002300137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448704,"about_ca_system_score_gemma":0.00027053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002748169,"about_ca_topic_score_gemma":0.0001632381,"domain_scores_codex":[0.9987422,0.0001816942,0.0003171529,0.0002584031,0.0002718237,0.0002287852],"domain_scores_gemma":[0.9986547,0.00088117,0.0000414019,0.0002137949,0.00009617447,0.0001128179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001657387,0.00453135,0.4632851,0.001570014,0.0005217805,0.0002559746,0.02049439,0.003381079,0.1996585,0.01663284,0.1822057,0.105806],"study_design_scores_gemma":[0.002704184,0.0003325189,0.01666764,0.00004783327,0.00004323157,0.00006693743,0.002176293,0.006708502,0.003856446,0.0004972569,0.9667693,0.0001298891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104919,0.000540257,0.06091602,0.02264671,0.0005541032,0.001375921,0.00003152945,0.00005875345,0.003384791],"genre_scores_gemma":[0.987267,0.000166724,0.00204653,0.002159645,0.0006074379,0.0003106572,0.00003522557,0.00001070987,0.007396029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845636,"threshold_uncertainty_score":0.3782468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505707666747556,"score_gpt":0.4331096070682069,"score_spread":0.2825388403934513,"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."}}