{"id":"W1978511380","doi":"10.1089/bsp.2009.0002","title":"Triage and Management of Accidental Laboratory Exposures to Biosafety Level-3 and -4 Agents","year":2009,"lang":"en","type":"article","venue":"Biosecurity and Bioterrorism Biodefense Strategy Practice and Science","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; U.S. Army Medical Research Institute of Infectious Diseases; National Institutes of Health; U.S. Army; U.S. Department of Homeland Security","keywords":"Isolation (microbiology); Biosafety; Medical emergency; Medicine; Triage; Infection control; Outreach; Referral; Personal protective equipment; Family medicine; Intensive care medicine; Infectious disease (medical specialty); Disease; Coronavirus disease 2019 (COVID-19); Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002278206,0.0004271039,0.0003497726,0.001065627,0.002186649,0.0007769413,0.001249249,0.001113765,0.002705983],"category_scores_gemma":[0.006925724,0.0002755772,0.000450087,0.0002613986,0.000469989,0.0009926907,0.001780051,0.001211527,0.0007107232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009318459,"about_ca_system_score_gemma":0.002157573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386284,"about_ca_topic_score_gemma":0.003169977,"domain_scores_codex":[0.9977545,0.0009930672,0.000367088,0.0001254781,0.0003675539,0.0003923668],"domain_scores_gemma":[0.9980262,0.0002982557,0.0006996171,0.00008263864,0.000516968,0.0003763599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001067215,0.001802217,0.2877405,0.001364804,0.00007336064,0.03752477,0.02631029,0.004089323,0.02761227,0.002387324,0.04410289,0.5659252],"study_design_scores_gemma":[0.0004533365,0.01529775,0.4750312,0.0051294,0.0002481744,0.1069449,0.1134218,0.0347306,0.06350669,0.01461788,0.1700239,0.0005943201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8886659,0.003267193,0.06191418,0.02261003,0.001204334,0.002872219,0.0001736621,0.001074575,0.01821801],"genre_scores_gemma":[0.9657006,0.002517584,0.02567469,0.00211749,0.0003639913,0.0005156508,0.0001065149,0.00003825797,0.002965306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002705983,"threshold_uncertainty_score":0.01204848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031459754563469,"score_gpt":0.3254443969682636,"score_spread":0.2939846424047946,"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."}}