{"id":"W2737047656","doi":"10.1016/j.tibtech.2017.06.005","title":"Respiratory Protection against Pandemic and Epidemic Diseases","year":2017,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Respiratory system; Betacoronavirus; Medicine; Biology; Intensive care medicine; Outbreak; Infectious disease (medical specialty); Disease; Pathology; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006393724,0.0001983473,0.0004975033,0.0003196257,0.0003352671,0.00001752138,0.0003864927,0.0005384136,0.00001942421],"category_scores_gemma":[0.01053158,0.0001580527,0.00006236183,0.0001500062,0.0007701978,0.00007995214,0.0004972368,0.0004916893,0.00001007215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288643,"about_ca_system_score_gemma":0.00001194889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001057236,"about_ca_topic_score_gemma":0.000667415,"domain_scores_codex":[0.9985481,0.0001306374,0.00039519,0.0004864623,0.000080502,0.0003591315],"domain_scores_gemma":[0.9982848,0.0005417392,0.0003077984,0.000799276,0.00001635796,0.00005004245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006128108,0.0001131639,0.334478,0.00008054786,0.00004457618,0.0000344648,0.00005969023,0.000003432931,0.004166244,0.02674911,0.002206461,0.632003],"study_design_scores_gemma":[0.001349474,0.00028574,0.5663342,0.0001254331,0.00004768906,0.00001031362,0.00007071722,0.0004497606,0.001255612,0.4006748,0.02888929,0.0005069258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846686,0.001125366,0.0007531626,0.01165714,0.0001280372,0.0002324166,0.00001352578,0.0005747607,0.0008469899],"genre_scores_gemma":[0.9980444,0.0004881127,0.0007209562,0.0004197485,0.00005765717,0.0001158078,0.000001167735,0.00001570949,0.0001364676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6314961,"threshold_uncertainty_score":0.9978032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3454390100397329,"score_gpt":0.4562996981961492,"score_spread":0.1108606881564163,"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."}}