{"id":"W2314879851","doi":"10.1093/annhyg/mev005","title":"Particle Loading Time and Humidity Effects on the Efficiency of an N95 Filtering Facepiece Respirator Model under Constant and Inhalation Cyclic Flows","year":2015,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Concordia University; Natural Sciences and Engineering Research Council of Canada; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Respirator; Penetration (warfare); Inhalation; Particle size; Relative humidity; Materials science; Time constant; Volumetric flow rate; Humidity; Inhalation exposure; Volume (thermodynamics); Particle (ecology); Chemistry; Composite material; Mechanics; Meteorology; Thermodynamics; Anesthesia; Medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000511226,0.0003433725,0.0003883111,0.0001564748,0.0001949902,0.0004055836,0.0003482344,0.0004884269,0.0007088684],"category_scores_gemma":[0.0006363819,0.0001304917,0.0004227982,0.0001366947,0.0002055893,0.0004149895,0.0002651967,0.0003292136,0.0001870096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676204,"about_ca_system_score_gemma":0.000197516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177878,"about_ca_topic_score_gemma":0.001729966,"domain_scores_codex":[0.9994648,0.00006344313,0.00003709754,0.0001547567,0.0002103409,0.00006967506],"domain_scores_gemma":[0.9996457,0.0001261736,0.00007979147,0.00003430862,0.00009015417,0.00002372745],"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":[0.0003282399,0.00004285423,0.00208834,0.0001301059,0.00002354309,0.00005804086,0.00008092754,0.0009848803,0.990243,0.00005311515,0.0001004399,0.005866536],"study_design_scores_gemma":[0.0000106982,0.001370182,0.01584292,0.00001215438,0.00006110071,0.0001253697,0.00008385051,0.007887396,0.9732547,0.00004032706,0.00128508,0.00002623829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995908,0.0007196089,0.002607644,0.0000354191,0.00001754529,0.00002154588,0.0001954163,0.00004916026,0.0004456327],"genre_scores_gemma":[0.9954503,0.0006042638,0.002727343,0.00004942675,0.000008901759,0.00003085467,0.0002734429,0.00002209702,0.0008333709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002177878,"threshold_uncertainty_score":0.004330456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010981535872741,"score_gpt":0.3236037428969628,"score_spread":0.2225055893096886,"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."}}