{"id":"W3032156814","doi":"10.1101/2020.05.25.20112615","title":"Reprocessing N95 Respirators During the COVID-19 Pandemic: Moist Heat Inactivates SARS-CoV-2 and Maintains N95 Filtration","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation","funders":"","keywords":"Respirator; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Human decontamination; Personal protective equipment; Filtration (mathematics); Environmental science; Medicine; Waste management; Materials science; Infectious disease (medical specialty); Engineering","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":[0.0007824515,0.0003128872,0.0004595915,0.0001558399,0.0004600978,0.00015453,0.0001158205,0.0003010461,0.00002544319],"category_scores_gemma":[0.001411608,0.0002331559,0.0001451329,0.0002324604,0.0001328658,0.0001271064,0.0001943407,0.0009093291,0.000009907722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658395,"about_ca_system_score_gemma":0.00032405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003595726,"about_ca_topic_score_gemma":0.0001343219,"domain_scores_codex":[0.9980184,0.000198783,0.0005120109,0.0006961825,0.0003204129,0.0002541403],"domain_scores_gemma":[0.9988411,0.0001657667,0.0002609084,0.0004646518,0.000118529,0.000149024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005111888,0.00004784219,0.8143466,0.0011762,0.0001269982,0.00005065425,0.001065633,0.0002210898,0.1814706,0.0001321705,0.0002627745,0.0005882737],"study_design_scores_gemma":[0.004896805,0.0003748646,0.8235719,0.0009220931,0.0007415804,0.0007354003,0.0006878792,0.01559731,0.09997619,0.003701979,0.04771437,0.001079651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802763,0.0004036848,0.01014232,0.00702764,0.0003708924,0.0007813047,0.00001471934,0.0002936076,0.0006894837],"genre_scores_gemma":[0.9948873,0.0001198881,0.00008596033,0.003811256,0.0007773981,0.00009573798,0.00006310227,0.00004333043,0.0001160339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08149443,"threshold_uncertainty_score":0.9507821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0813109836237217,"score_gpt":0.3480693743851166,"score_spread":0.2667583907613949,"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."}}