{"id":"W4391389778","doi":"10.1017/dmp.2024.1","title":"The Impact of Exposure to Previous Disasters on Hospital Disaster Surge Capacity Preparedness in Finland: Hospital disaster surge capacity preparedness","year":2024,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Disaster Response and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Surge Capacity; Checklist; Preparedness; Emergency management; Medical emergency; Disaster preparedness; Mass-casualty incident; Surge; Medicine; Occupational safety and health; Poison control; Injury prevention; Emergency medicine; Geography; Psychology; Coronavirus disease 2019 (COVID-19); Political science; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006075636,0.001272223,0.002102314,0.0008880243,0.0009708226,0.0002640093,0.001141007,0.0004629863,0.0004087664],"category_scores_gemma":[0.001409821,0.000810785,0.0004752357,0.001523745,0.0008808642,0.001067993,0.0009503653,0.001300168,0.0001358458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450175,"about_ca_system_score_gemma":0.001761494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006864267,"about_ca_topic_score_gemma":0.003483203,"domain_scores_codex":[0.986791,0.003387725,0.003225982,0.002028941,0.001503925,0.003062437],"domain_scores_gemma":[0.9918569,0.002839197,0.000843698,0.002231376,0.0004158408,0.001813034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00108681,0.00110423,0.02510582,0.003012201,0.0004268633,0.00005758868,0.9007775,0.00004068444,0.000009061382,0.001478059,0.04771566,0.01918551],"study_design_scores_gemma":[0.006840781,0.009502618,0.04395133,0.01841142,0.000208126,0.00003386732,0.8263462,0.0006350749,0.000002001095,0.001436624,0.0903276,0.002304331],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750186,0.00135298,0.0003489048,0.00645158,0.005208608,0.006551818,0.0006847116,0.000259156,0.004123653],"genre_scores_gemma":[0.9931982,0.0004820287,0.00002483256,0.001724701,0.0008734077,0.001965726,0.0002181477,0.0001839027,0.001329071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07443129,"threshold_uncertainty_score":0.9997491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08366857228415804,"score_gpt":0.4099109060661045,"score_spread":0.3262423337819465,"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."}}