{"id":"W4377094017","doi":"10.3233/shti230304","title":"Comparing Responses to COVID-19 Across Institutions: Conceptualization of an Emergency Response Maturity Model","year":2023,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Agency for Healthcare Research and Quality","keywords":"Conceptualization; Coronavirus disease 2019 (COVID-19); Maturity (psychological); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Emergency response; Psychology; Computer science; Medicine; Medical emergency; Virology; Artificial intelligence; Developmental psychology; Internal medicine","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":[0.02034015,0.0004466556,0.0003041896,0.005525013,0.002036222,0.005764139,0.001602755,0.001793822,0.001656935],"category_scores_gemma":[0.03725312,0.000382604,0.0009634789,0.00304009,0.004980353,0.01042136,0.005847307,0.00227191,0.0002162546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008892561,"about_ca_system_score_gemma":0.007881441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004658,"about_ca_topic_score_gemma":0.00576666,"domain_scores_codex":[0.9885795,0.006701054,0.001099493,0.0007697499,0.001820959,0.001029259],"domain_scores_gemma":[0.9728203,0.01244776,0.00541028,0.001225471,0.006126984,0.001969152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001802027,0.0007274026,0.2998063,0.0004841397,0.0001625054,0.0005014966,0.1584346,0.01300437,0.003352185,0.4393817,0.002584638,0.08138046],"study_design_scores_gemma":[0.00009894936,0.0009908681,0.2091348,0.001203983,0.0001674861,0.0007718493,0.3894608,0.08848638,0.003314044,0.2722286,0.03388591,0.0002562973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8019672,0.0004070298,0.1314448,0.01532348,0.0000422451,0.001128403,0.0003863336,0.0001762285,0.0491243],"genre_scores_gemma":[0.9804797,0.00006868076,0.01844099,0.0001629104,0.000003983637,0.0002279705,0.0002306562,0.000008201097,0.0003769122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034015,"threshold_uncertainty_score":0.1075704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3951088844677889,"score_gpt":0.5818864629032507,"score_spread":0.1867775784354619,"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."}}