{"id":"W3044021151","doi":"10.1002/lary.29004","title":"Nasal Endoscopy During the <scp>COVID</scp>‐19 Pandemic: Mitigating Risk with <scp>3D</scp> Printed Masks","year":2020,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Internal medicine; Infectious disease (medical specialty)","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":[0.0004511838,0.0003066436,0.0001700799,0.0002444856,0.00060078,0.000514582,0.0005981133,0.001589893,0.1073905],"category_scores_gemma":[0.003754807,0.0001253991,0.0004245439,0.0001069087,0.000200134,0.0004880962,0.0006421066,0.0009130259,0.0104276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004026817,"about_ca_system_score_gemma":0.001195348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033624,"about_ca_topic_score_gemma":0.01691509,"domain_scores_codex":[0.9996903,0.000065363,0.00001235008,0.00002212257,0.0001507556,0.00005904554],"domain_scores_gemma":[0.9992642,0.0003177235,0.00008162182,0.00003632261,0.0001712864,0.0001289282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007867054,0.000252566,0.008002087,0.0008555999,0.00002286041,0.002639508,0.0002490843,0.0003570292,0.008413753,0.001542777,0.7183021,0.2585761],"study_design_scores_gemma":[0.0003897443,0.001861091,0.06224915,0.002378771,0.00009431337,0.004148368,0.001841225,0.005513078,0.01373297,0.00321476,0.9044488,0.0001278456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1107526,0.009104696,0.02998486,0.1223159,0.01727201,0.001854863,0.01678915,0.006451694,0.6854743],"genre_scores_gemma":[0.6643717,0.01426017,0.06999683,0.03633643,0.00701343,0.001498812,0.008845056,0.001174217,0.1965034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1073905,"threshold_uncertainty_score":0.3592571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158164738014171,"score_gpt":0.2628446892707848,"score_spread":0.2412630418906431,"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."}}