{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005100682,0.0004101893,0.0003905681,0.002098523,0.0006136289,0.002076013,0.0005850708,0.0009460728,0.01542727],"category_scores_gemma":[0.02052254,0.0001296774,0.0004580286,0.001623654,0.001465026,0.003145357,0.00172175,0.001409573,0.0008665135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105454,"about_ca_system_score_gemma":0.001383802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001622006,"about_ca_topic_score_gemma":0.001391121,"domain_scores_codex":[0.9975736,0.001605863,0.00007738931,0.0001595343,0.0003231441,0.0002604949],"domain_scores_gemma":[0.9863316,0.008249171,0.002815614,0.001113556,0.0009682457,0.0005218541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008218069,0.0006888491,0.105412,0.0007881405,0.000355404,0.0002103702,0.001413661,0.006591063,0.001831808,0.6668217,0.0153726,0.1996926],"study_design_scores_gemma":[0.0001600476,0.001098831,0.1778901,0.001281949,0.000307306,0.0007835554,0.007845182,0.01882411,0.004032643,0.7002763,0.08746051,0.00003950659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5865452,0.03623981,0.05014269,0.09645411,0.0009455102,0.000157907,0.002896296,0.0001698392,0.2264487],"genre_scores_gemma":[0.9834614,0.006800193,0.002719653,0.0009937428,0.0005903367,0.00004481032,0.0003147,0.00001582545,0.005059406],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01542727,"threshold_uncertainty_score":0.05160934,"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."}}