{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002838074,0.0001046192,0.0004168921,0.0001647533,0.0000792193,0.00003170865,0.00002158094,0.00003221965,0.0004627775],"category_scores_gemma":[0.000343204,0.00009129663,0.000305019,0.0003318464,0.00005263683,0.0001713771,0.000008134663,0.0002438272,0.00002524461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009579942,"about_ca_system_score_gemma":0.0001741139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007079434,"about_ca_topic_score_gemma":0.00001689856,"domain_scores_codex":[0.9989568,0.0001096177,0.000445611,0.0001080124,0.0002199996,0.0001599835],"domain_scores_gemma":[0.9984123,0.0001020497,0.0004728823,0.0001206075,0.0007562841,0.000135873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001117144,0.0004139944,0.699693,0.00003807438,0.0007923531,0.0002725924,0.0001593529,0.002467867,0.07588383,0.0001886359,0.001320311,0.2176529],"study_design_scores_gemma":[0.009368108,0.003203348,0.8661861,0.000144066,0.0005797754,0.006364808,0.0001890758,0.007461225,0.01012059,0.0001403271,0.09598003,0.000262599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7080672,0.00009573735,0.2890814,0.0009641747,0.0005120882,0.00008943083,0.000002563696,0.00003018013,0.001157276],"genre_scores_gemma":[0.9975314,0.00006150298,0.0003057678,0.001271034,0.0006420443,0.000003839898,0.000003176958,0.00001367178,0.0001675219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2894643,"threshold_uncertainty_score":0.5067089,"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."}}