{"id":"W4309264749","doi":"10.1101/2022.11.14.22282295","title":"Detection of infectious SARS-CoV-2 in frozen aerosol samples collected from hospital rooms of patients with COVID-19","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Université de Montréal; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Université de Montréal; Sunnybrook Research Institute","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Aerosol; Virology; Sars virus; Medicine; Infectious disease (medical specialty); Meteorology; Geography; Pathology; Outbreak","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003078615,0.0003927206,0.0009880646,0.0006694897,0.000100786,0.00001789142,0.0002131491,0.0003191304,0.00008890977],"category_scores_gemma":[0.002562205,0.0003754147,0.0001918881,0.00097784,0.000144448,0.00005569145,0.000334098,0.0009712312,0.000003612452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698815,"about_ca_system_score_gemma":0.0005112717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182703,"about_ca_topic_score_gemma":0.003925735,"domain_scores_codex":[0.9971849,0.0002474898,0.0008857157,0.0007067506,0.0006843731,0.0002908168],"domain_scores_gemma":[0.9975848,0.0004512848,0.0009156709,0.0006585367,0.0003124629,0.00007728416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006604651,0.0006053375,0.7793315,0.000316597,0.0002072307,0.00002428797,0.001200278,0.0001127245,0.2170465,8.19968e-7,0.00002244557,0.0004717728],"study_design_scores_gemma":[0.004726271,0.001111846,0.4547997,0.000231611,0.0001853877,0.000005009632,0.0001518535,0.0002907551,0.5377135,0.0001222984,0.0003465984,0.0003152472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954121,0.0001095474,0.001407152,0.00003938232,0.0007965877,0.001511261,0.0002749468,0.0002069275,0.000242155],"genre_scores_gemma":[0.9986497,0.000009089528,0.0004760521,0.0002956568,0.00007483491,0.0002067538,0.0002011701,0.00007691915,0.000009885764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3245319,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238417409615214,"score_gpt":0.2854709420057114,"score_spread":0.2530867679095593,"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."}}