{"id":"W3163786591","doi":"10.1016/j.buildenv.2021.107956","title":"Indoor airborne disinfection with electrostatic disinfector (ESD): Numerical simulations of ESD performance and reduction of computing time","year":2021,"lang":"en","type":"article","venue":"Building and Environment","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Electrostatic discharge; Electrostatic precipitator; Corona discharge; HEPA; Environmental science; Airflow; HVAC; Nuclear engineering; Air conditioning; Materials science; Voltage; Engineering; Electrical engineering; Mechanical engineering; Drop (telecommunication)","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":[0.00008068272,0.00007531298,0.0001744688,0.00004979052,0.00007726214,0.000006187104,0.000006439316,0.00003229319,0.00003789934],"category_scores_gemma":[0.00001629479,0.00006406604,0.0000231276,0.0000882905,0.00005308522,0.00006208954,0.00001422335,0.00006699585,9.139379e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630106,"about_ca_system_score_gemma":0.00001487136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190241,"about_ca_topic_score_gemma":2.651549e-7,"domain_scores_codex":[0.9994497,0.00002495606,0.000179615,0.0001451068,0.0001127938,0.00008780253],"domain_scores_gemma":[0.9997208,0.00003815643,0.0001047831,0.00007564807,0.00002247221,0.00003814834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003824472,0.000572037,0.4553779,0.0003977203,0.0001900392,0.00000287247,0.0006097566,0.04380514,0.4374316,0.0001573396,0.00001611897,0.06105698],"study_design_scores_gemma":[0.001250072,0.0006293269,0.7988842,0.0001530789,0.000164963,0.0001168552,0.00002667506,0.1580182,0.04052446,0.00001822853,0.0001279363,0.00008595534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632279,0.00008005253,0.03639684,0.00009127272,0.0000250637,0.0001232555,0.000002250563,0.00001203441,0.00004130673],"genre_scores_gemma":[0.998375,0.00007585131,0.001409454,0.000008252954,0.00004145005,0.000001907431,0.00001936717,0.000008100881,0.00006060736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3969072,"threshold_uncertainty_score":0.2612537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005006841963859855,"score_gpt":0.2173362612039941,"score_spread":0.2123294192401342,"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."}}