{"id":"W3127075823","doi":"10.1039/d1en00277e","title":"Non-woven materials for cloth-based face masks inserts: relationship between material properties and sub-micron aerosol filtration","year":2021,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Filtration (mathematics); Aerosol; Materials science; Woven fabric; Composite material; Filter (signal processing); Face masks; Computer science; Chemistry; Coronavirus disease 2019 (COVID-19); Mathematics; Computer vision","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":[0.0003684968,0.0001042183,0.0001464185,0.00005414236,0.0003317385,0.00009917204,0.00004197069,0.0000716349,0.0001300326],"category_scores_gemma":[0.00008072532,0.00009050973,0.00003203649,0.00009493704,0.0002190708,0.0003150474,0.00002922609,0.00004190043,0.00002272451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804773,"about_ca_system_score_gemma":0.00009931857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001438246,"about_ca_topic_score_gemma":0.000003480322,"domain_scores_codex":[0.9990137,0.00002523695,0.0002172533,0.0002876181,0.0002670389,0.0001891843],"domain_scores_gemma":[0.9996691,0.00002927682,0.00008098896,0.0001297982,0.00001925957,0.00007155375],"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":[0.000110358,0.00004291217,0.07647937,0.0000299451,0.000003773825,7.6627e-7,0.00009604911,0.000009671047,0.9229012,0.0000115092,0.00002881445,0.00028563],"study_design_scores_gemma":[0.0006805616,0.0001261703,0.3276566,0.0000286512,0.00002818818,0.000006459759,0.00004602104,0.0001260815,0.6709997,0.00001212914,0.0002169376,0.00007244702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965839,0.00002674586,0.001939883,0.0003925528,0.000316407,0.0005953159,0.0000669384,0.00002227276,0.00005593889],"genre_scores_gemma":[0.9986502,0.000004505812,0.000446938,0.0001347382,0.0001599194,0.00006016948,0.0001724064,0.00001108939,0.000360065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519015,"threshold_uncertainty_score":0.369088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290296946277404,"score_gpt":0.2460483950604309,"score_spread":0.2170187004326904,"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."}}