{"id":"W4366817890","doi":"10.1016/j.jaerosci.2023.106189","title":"Aerosol charge neutralization and its impact on particle filtration efficiency of common face mask materials","year":2023,"lang":"en","type":"article","venue":"Journal of Aerosol Science","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Impact; National Research Council Canada; McMaster University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; McMaster University; Ontario Centres of Excellence","keywords":"Aerosol; Scanning mobility particle sizer; Particle-size distribution; Particle (ecology); Particle size; Materials science; Chemistry; Analytical Chemistry (journal); Composite material; Environmental chemistry","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":[0.001008885,0.00007418912,0.0002024007,0.0001427869,0.0001228102,0.00004619717,0.00006723412,0.00003476888,0.00007200233],"category_scores_gemma":[0.0001824133,0.00005139058,0.00005051905,0.0006469434,0.00007506445,0.0004201878,0.00001404274,0.00006886503,0.00001471839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004624584,"about_ca_system_score_gemma":0.00009961177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000662306,"about_ca_topic_score_gemma":9.147498e-7,"domain_scores_codex":[0.998878,0.00003758114,0.0003849064,0.0001038298,0.0004252787,0.0001704289],"domain_scores_gemma":[0.9991698,0.00004380221,0.0003553661,0.00008159773,0.0002467388,0.0001026929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001579795,0.00009027208,0.004018223,0.00002295451,0.000005679724,0.000003132097,0.0003363747,0.000761043,0.9941815,0.0001312209,0.00005544992,0.0002362105],"study_design_scores_gemma":[0.0007487854,0.001084697,0.0459508,0.00009815507,0.00002390452,0.00005392467,0.00004206317,0.01481817,0.9371227,0.000007204548,0.000002402923,0.00004717753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983265,0.00002114836,0.0006537724,0.0004250583,0.0002965715,0.0001791222,0.000006700454,0.00001506053,0.00007601561],"genre_scores_gemma":[0.9997213,0.00004565738,0.00001264775,0.00005507388,0.00008161085,0.000001425082,0.000002530268,0.000004700236,0.00007507689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05705874,"threshold_uncertainty_score":0.2095647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486992703105251,"score_gpt":0.3316171384848166,"score_spread":0.3067472114537641,"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."}}