{"id":"W4289782748","doi":"10.14745/ccdr.v48i78a06","title":"Multivariate analyses of risk factors associated with laboratory exposure incidents","year":2022,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Biosafety; Biosecurity; Poisson regression; Environmental health; Risk assessment; Root cause analysis; Medicine; Statistics; Engineering; Forensic engineering; Computer science; Computer security; Population; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005112701,0.0007727536,0.0005369075,0.001772393,0.0006833891,0.001168793,0.001068029,0.0005220994,0.007111604],"category_scores_gemma":[0.02494387,0.0003192064,0.002540838,0.00204933,0.0007069707,0.0006973419,0.001006278,0.001684264,0.0002792328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536281,"about_ca_system_score_gemma":0.00475862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1023906,"about_ca_topic_score_gemma":0.03676564,"domain_scores_codex":[0.9970579,0.001257565,0.0002440536,0.0003860433,0.0005937926,0.0004607034],"domain_scores_gemma":[0.977721,0.01491617,0.003407951,0.001124291,0.001782728,0.001047931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002793528,0.0001112546,0.99264,0.00002854283,0.0003915736,0.0001100352,0.0002243458,0.001884851,0.00007872365,0.0002707647,0.0004494258,0.003531103],"study_design_scores_gemma":[0.00003362778,0.0005126076,0.9442764,0.00006733786,0.0005630084,0.000299764,0.001628047,0.05040044,0.0002801966,0.0009210708,0.0009742354,0.00004324671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917107,0.0002515363,0.004712999,0.0003406542,0.00003605506,0.00009341043,0.001849066,0.00008122104,0.0009243877],"genre_scores_gemma":[0.9977853,0.0000949777,0.0008883554,0.00001312206,0.00001284402,0.00006527236,0.0007012517,0.00001493416,0.0004238965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8976094,"threshold_uncertainty_score":0.2035893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960173788981247,"score_gpt":0.2874951019992524,"score_spread":0.2578933641094399,"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."}}