{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005541,0.0001732765,0.0001786264,0.00009944152,0.0002683726,0.0001758612,0.0001348389,0.0001375945,0.000003409256],"category_scores_gemma":[0.0001035473,0.0001474574,0.00002083771,0.0002640685,0.0005576339,0.00007017218,0.0002384112,0.0001017363,9.41223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006358285,"about_ca_system_score_gemma":0.00006158202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005981628,"about_ca_topic_score_gemma":0.00002019602,"domain_scores_codex":[0.9985748,0.00007532367,0.0002292567,0.0005708583,0.0002491504,0.0003006035],"domain_scores_gemma":[0.9992816,0.00002184996,0.00009504971,0.0002123799,0.0001194564,0.0002696231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006899552,0.0001254593,0.0007683996,0.00008229177,0.00003429807,0.0000344204,0.0005162789,1.400364e-7,0.9522347,0.001491465,0.0001339056,0.04388871],"study_design_scores_gemma":[0.002843501,0.00458564,0.5713305,0.00013736,0.0001124076,0.0001942194,0.00510619,0.00005535413,0.3942248,0.0003175494,0.0202321,0.0008603368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954153,0.002265269,0.00004253793,0.001384975,0.00006754734,0.000267104,0.00008657617,0.000005825129,0.0004649184],"genre_scores_gemma":[0.987648,0.01103411,0.0008473026,0.0003757572,0.00004527183,0.00000269574,0.000006818053,0.000004506114,0.0000355945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705621,"threshold_uncertainty_score":0.6013138,"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."}}