{"id":"W3161340050","doi":"10.1016/j.ajic.2021.04.085","title":"A simple HEPA filtering facepiece","year":2021,"lang":"en","type":"article","venue":"American Journal of Infection Control","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Centers for Disease Control and Prevention; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Respirator; HEPA; Economic shortage; Filtration (mathematics); Coronavirus disease 2019 (COVID-19); Particle size; Particle (ecology); Medicine; Environmental science; Infectious disease (medical specialty); Engineering; Materials science; Filter (signal processing); Statistics; Electrical engineering; Composite material; Mathematics","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":[0.0009001786,0.0006097427,0.0005651219,0.0005594395,0.0007813958,0.0005819444,0.00112462,0.001691347,0.01816702],"category_scores_gemma":[0.001172491,0.0004601721,0.001136886,0.0001618792,0.0003660364,0.0008363422,0.001052324,0.001377339,0.006226507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002132095,"about_ca_system_score_gemma":0.0005842508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004096733,"about_ca_topic_score_gemma":0.0005528387,"domain_scores_codex":[0.9993512,0.00007249697,0.00006799349,0.0001630256,0.0002837816,0.00006143128],"domain_scores_gemma":[0.999295,0.0002497864,0.0000586791,0.0001687746,0.00008596192,0.0001416551],"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":[0.00154288,0.0006923553,0.007338922,0.0008329668,0.00008790699,0.005121637,0.0003321575,0.0005444884,0.5705073,0.002323956,0.0191718,0.3915035],"study_design_scores_gemma":[0.001050691,0.01266452,0.1060038,0.0004400523,0.0005458821,0.2270023,0.0007430938,0.01087077,0.3279969,0.004833338,0.3071479,0.0007007962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3306712,0.007171482,0.5786525,0.009063312,0.004977461,0.001780069,0.001638177,0.009528067,0.05651785],"genre_scores_gemma":[0.4800702,0.001392686,0.4487942,0.004452818,0.001905171,0.0005700036,0.0008745537,0.0006999994,0.06124043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816702,"threshold_uncertainty_score":0.06077474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008995046009481361,"score_gpt":0.2761518329562367,"score_spread":0.2671567869467553,"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."}}