{"id":"W4402312444","doi":"10.1140/epjp/s13360-024-05551-y","title":"Emergency management in a Nuclear Medicine Department: flooding scenario","year":2024,"lang":"en","type":"article","venue":"The European Physical Journal Plus","topic":"Disaster Response and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"PROTO Manufacturing (Canada)","funders":"","keywords":"Emergency department; Flooding (psychology); Medical emergency; Emergency medicine; Medicine; Psychology; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005701877,0.0004846536,0.0003116431,0.0006989517,0.003825023,0.001587471,0.0009697321,0.005412285,0.007068034],"category_scores_gemma":[0.00169062,0.0003784982,0.0005295918,0.0007084497,0.0007563013,0.001061785,0.001869787,0.002240316,0.0009742216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556936,"about_ca_system_score_gemma":0.002407779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356288,"about_ca_topic_score_gemma":0.01973539,"domain_scores_codex":[0.9992211,0.0001781576,0.00005067307,0.00006506086,0.00009469206,0.000390378],"domain_scores_gemma":[0.998914,0.0001207409,0.0001247605,0.00002661666,0.0001361099,0.0006777449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002490077,0.001837858,0.19555,0.0006860856,0.0002529039,0.6308688,0.01084577,0.0391979,0.01072745,0.009587644,0.06836625,0.02958937],"study_design_scores_gemma":[0.0009633242,0.004833045,0.3568118,0.001220096,0.0004170173,0.2681859,0.1399642,0.07985536,0.005512184,0.01855138,0.12306,0.0006257566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407254,0.0009164059,0.002202686,0.03005451,0.0006101984,0.0001601519,0.00119876,0.0001653517,0.02396667],"genre_scores_gemma":[0.9942585,0.0004518946,0.0008320434,0.001157664,0.0002952939,0.00002892805,0.0003408761,0.00001572251,0.002619084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356288,"threshold_uncertainty_score":0.02696788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05699271473012035,"score_gpt":0.3902152039530594,"score_spread":0.333222489222939,"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."}}