{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002729203,0.0002678199,0.0005298575,0.0007696064,0.000753154,0.00007486589,0.0002979307,0.00008401126,0.00002223363],"category_scores_gemma":[0.0002423222,0.000217676,0.00003734558,0.000207638,0.00007919317,0.0001707405,0.0005240131,0.001556333,1.916648e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01620411,"about_ca_system_score_gemma":0.002310542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8986076,"about_ca_topic_score_gemma":0.8489857,"domain_scores_codex":[0.9953462,0.001328919,0.001649443,0.0003998437,0.0007706016,0.0005049867],"domain_scores_gemma":[0.996994,0.0009213607,0.001561303,0.0002089268,0.00005751391,0.0002568484],"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":[0.00327321,0.0002012146,0.2712481,0.01016885,0.0007430571,0.0003452467,0.1727127,0.01516243,0.000003685157,0.02862512,0.4927562,0.004760082],"study_design_scores_gemma":[0.002015996,0.0004133032,0.1433302,0.004005256,0.00001929176,0.0001089092,0.1025929,0.00006749066,1.305655e-7,0.0006497882,0.7465547,0.0002419858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1632701,0.0004944176,0.001148683,0.8318834,0.001047726,0.001779777,0.0002346725,0.000008512586,0.0001327589],"genre_scores_gemma":[0.756343,0.001209594,0.00003585121,0.2401254,0.000188449,0.00006579055,0.00001423888,0.00001682207,0.002000881],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5930729,"threshold_uncertainty_score":0.9875725,"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."}}