{"id":"W4281643982","doi":"10.34172/ijhpm.2022.7279","title":"Resilience of Health Systems: Understanding Uncertainty Uses, Intersecting Crises and Cross-level Interactions Comment on \"Government Actions and Their Relation to Resilience in Healthcare During the COVID-19 Pandemic in New South Wales, Australia and Ontario, Canada\"","year":2022,"lang":"en","type":"letter","venue":"International Journal of Health Policy and Management","topic":"Disaster Response and Management","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Resilience (materials science); Government (linguistics); CLARITY; Community resilience; Psychological resilience; Socio-ecological system; Healthcare system; Pandemic; Negotiation; Sociology; Health care; Coronavirus disease 2019 (COVID-19); Political science; Public relations; Environmental resource management; Psychology; Social psychology; Computer science; Disease; Medicine; Economics; Social science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01320723,0.0007297574,0.001089777,0.000689195,0.01471951,0.005292897,0.003722419,0.04859375,0.006108122],"category_scores_gemma":[0.04174252,0.0008568141,0.001001775,0.0008627611,0.00934642,0.006309071,0.003607108,0.0374076,0.00321917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01419187,"about_ca_system_score_gemma":0.02461736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1426468,"about_ca_topic_score_gemma":0.1984614,"domain_scores_codex":[0.9911163,0.004675027,0.0005608526,0.0007530603,0.001681459,0.001213261],"domain_scores_gemma":[0.9566184,0.03269224,0.001224837,0.0007566549,0.005213598,0.003494181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004561914,0.00003869959,0.001072741,0.00009574699,0.00001085573,0.001444744,0.008597996,0.0001599422,0.0002029676,0.00558113,0.9747626,0.007986826],"study_design_scores_gemma":[0.00008546192,0.0001137045,0.004030519,0.00104719,0.00003396336,0.00177852,0.02721801,0.001427017,0.0004334098,0.01860923,0.9449928,0.0002300494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008733733,0.0004587755,0.00009309067,0.9941987,0.002596571,0.0000103614,0.0000245564,0.0000132796,0.001731311],"genre_scores_gemma":[0.01207751,0.0006379629,0.0002444099,0.9767717,0.003767394,0.00005404955,0.00001427338,0.00002611732,0.006406633],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8573532,"threshold_uncertainty_score":0.283633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3005554491535356,"score_gpt":0.4815043903777215,"score_spread":0.1809489412241859,"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."}}