{"id":"W4392109841","doi":"10.5430/jnep.v14n6p1","title":"Evaluating nurses’ preparedness in critical incidents","year":2024,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Preparedness; Medical emergency; Computer security; Business; Nursing; Computer science; Medicine; Political science","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":[0.004462637,0.0003709548,0.0002388148,0.001160669,0.001557756,0.001097061,0.0008549495,0.0004740364,0.001877778],"category_scores_gemma":[0.02544889,0.0002454968,0.0003982076,0.0004881651,0.0007733864,0.0006042338,0.001377843,0.0005878766,0.0002759194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753076,"about_ca_system_score_gemma":0.008592136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1873361,"about_ca_topic_score_gemma":0.225484,"domain_scores_codex":[0.9963288,0.0009408473,0.0003265973,0.0001713864,0.001741376,0.0004909267],"domain_scores_gemma":[0.9850379,0.002481047,0.004409581,0.0002960104,0.005896639,0.001878911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002288841,0.000366284,0.9339131,0.0003950109,0.00007593672,0.0002183602,0.01735655,0.0006253229,0.001566311,0.00007975666,0.001566717,0.04360782],"study_design_scores_gemma":[0.00001380946,0.0004821484,0.968696,0.0001838212,0.00001861864,0.0001677697,0.02568299,0.0004563103,0.0006286287,0.00005504029,0.00356681,0.00004805546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949982,0.0002753171,0.000398749,0.0003096084,0.00003589937,0.0001762297,0.0001179451,0.00002135524,0.003666638],"genre_scores_gemma":[0.9976729,0.0003490715,0.0009119366,0.00009787137,0.00001410085,0.00007970147,0.0002280616,0.000003743269,0.0006426089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1873361,"threshold_uncertainty_score":0.3724914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3954438846633328,"score_gpt":0.6982581668517382,"score_spread":0.3028142821884054,"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."}}