{"id":"W4392966263","doi":"10.1101/2024.03.17.24304429","title":"Measuring the fitted filtration efficiency of cloth masks, medical masks and respirators","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; LEO Pharma; Sanofi; Bayer HealthCare; Environment and Climate Change Canada; Relypsa; Astellas Pharma; Fresenius Medical Care North America; Hamilton Health Sciences; University of Windsor; AstraZeneca; McMaster University; Pfizer; Amgen","keywords":"Respirator; Filtration (mathematics); Coronavirus disease 2019 (COVID-19); Mathematics; Statistics; Materials science; Medicine; Composite material; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150374,0.0005427524,0.0003581273,0.0004617152,0.0002447445,0.0006310808,0.0003949,0.0006668214,0.001635893],"category_scores_gemma":[0.005986813,0.0002502638,0.0005626249,0.0002761761,0.0002856358,0.0005432125,0.0003781925,0.0002509091,0.000341036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554886,"about_ca_system_score_gemma":0.000211591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158213,"about_ca_topic_score_gemma":0.001030296,"domain_scores_codex":[0.9965365,0.001392938,0.0003123949,0.0004498666,0.001125224,0.0001830638],"domain_scores_gemma":[0.9957402,0.001375336,0.001295798,0.0004325013,0.0009189504,0.0002372498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008038617,0.001596815,0.8003408,0.0005599235,0.0007612482,0.0001250232,0.001307587,0.001193343,0.135629,0.000105907,0.0003919271,0.04994984],"study_design_scores_gemma":[0.00004992318,0.01034753,0.9390685,0.00003900826,0.000235366,0.0003413977,0.0005750017,0.001621278,0.04680353,0.00007178804,0.0008037568,0.00004294402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983211,0.0002478255,0.0007679076,0.000009518893,0.000007583444,0.00003694552,0.00008936728,0.000008773205,0.0005108518],"genre_scores_gemma":[0.9979196,0.00006755249,0.001355199,0.00002748534,0.000005814806,0.00003171365,0.0001233425,0.000007009134,0.0004622917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002150374,"threshold_uncertainty_score":0.01137239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252239540410071,"score_gpt":0.2863774889478654,"score_spread":0.2538550935437647,"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."}}