{"id":"W4391741407","doi":"10.1080/15502287.2024.2312473","title":"Flexible polyurethane foam as personal protective mask material: a numerical and experimental study","year":2024,"lang":"en","type":"article","venue":"International Journal for Computational Methods in Engineering Science and Mechanics","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Filtration (mathematics); Parametric statistics; Composite material; Mechanics; Particle size; Particle (ecology); Polyurethane; Work (physics); Air filter; Airflow; Discrete element method; Penetration (warfare); Mechanical engineering; Engineering; Mathematics","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":[0.0006681268,0.0002712588,0.0003605,0.0003836876,0.0003496334,0.0002729612,0.0003574978,0.0006519367,0.0007864349],"category_scores_gemma":[0.001088958,0.0001314152,0.0002864013,0.0003403834,0.0005701456,0.0004395026,0.0003203584,0.0002743218,0.0001174555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000274184,"about_ca_system_score_gemma":0.0002002738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009936289,"about_ca_topic_score_gemma":0.0008953835,"domain_scores_codex":[0.9996253,0.00004254379,0.00002177575,0.00005433712,0.0002199705,0.00003597069],"domain_scores_gemma":[0.9993333,0.0002735686,0.0001189216,0.0001075208,0.000142263,0.00002442447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003319459,0.000494381,0.006662001,0.0004087276,0.00001671757,0.0003993261,0.0003905617,0.0293915,0.9336867,0.001021294,0.0003064238,0.02689051],"study_design_scores_gemma":[0.00005157611,0.003403874,0.01739569,0.00004215955,0.00005529732,0.0009467418,0.0003803397,0.1927556,0.7805316,0.0005662196,0.003779167,0.00009182745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864444,0.0004690577,0.01138205,0.00008328172,0.00002840629,0.00007396234,0.0001266332,0.00005928955,0.001332978],"genre_scores_gemma":[0.9825043,0.0003435017,0.01643586,0.00001293212,0.000008283094,0.0000553198,0.000072209,0.000005108164,0.00056246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009936289,"threshold_uncertainty_score":0.003533423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217990024605863,"score_gpt":0.3990307845044466,"score_spread":0.3768508842583879,"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."}}