{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007106165,0.0003307174,0.0004133688,0.00006441676,0.0007579122,0.0001037121,0.0002744334,0.0001401099,0.00009373679],"category_scores_gemma":[0.00183493,0.000183299,0.0001573369,0.000518993,0.0001828852,0.0001794586,0.0001436618,0.001001491,0.0002249139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074366,"about_ca_system_score_gemma":0.0001802925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002591959,"about_ca_topic_score_gemma":0.00006671654,"domain_scores_codex":[0.9977324,0.000330072,0.0004332704,0.000454472,0.000490748,0.0005590079],"domain_scores_gemma":[0.9977666,0.0009535949,0.000365551,0.0004703758,0.0001462868,0.0002976442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463863,0.00008660137,0.9462051,0.0002602353,0.0004963377,0.00005509773,0.008294141,0.0007452313,0.04137819,0.0001456674,0.001362101,0.000824953],"study_design_scores_gemma":[0.01333625,0.00151034,0.829608,0.0006079833,0.00151314,0.0006695426,0.004075278,0.03583,0.02125628,0.0002186136,0.09117119,0.0002033429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826469,0.0004407837,0.006729824,0.00075673,0.0002131364,0.001125671,0.00002189198,0.0004563555,0.007608678],"genre_scores_gemma":[0.9922665,0.0001051023,0.000528282,0.003468251,0.0009806539,0.00009698021,0.00002795797,0.00006941149,0.002456863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116597,"threshold_uncertainty_score":0.7474716,"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."}}