{"id":"W4403298215","doi":"10.31223/x5mh6f","title":"Improving an Integrative Framework of Health System Resilience and Climate Change: Lessons from Bangladesh and Haiti","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Conceptual framework; Resilience (materials science); Psychological resilience; Adaptability; Corporate governance; Socio-ecological system; Process management; Environmental resource management; Climate resilience; Population; Knowledge management; Business; Climate change; Management science; Resource (disambiguation); Sociology; Psychology; Engineering; Computer science; Economics; Ecology; Social psychology; Management; Social science","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":[0.01494966,0.001368905,0.0008586936,0.00408122,0.005064764,0.007509451,0.002162696,0.002092224,0.005824387],"category_scores_gemma":[0.008258821,0.0004740305,0.0008200145,0.005143101,0.01493887,0.009604538,0.008817899,0.004713631,0.0004656532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02391709,"about_ca_system_score_gemma":0.02307496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08954702,"about_ca_topic_score_gemma":0.1356774,"domain_scores_codex":[0.9950181,0.003828041,0.0001808455,0.0002336218,0.0002573575,0.0004818947],"domain_scores_gemma":[0.9938796,0.003814103,0.0002488601,0.0002910615,0.001060851,0.0007055387],"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":[0.0001092706,0.000129817,0.00899334,0.002109298,0.0001268799,0.002482468,0.170025,0.007781428,0.0006882047,0.7060776,0.01008534,0.09139147],"study_design_scores_gemma":[0.0000550581,0.0001794793,0.01281832,0.006349508,0.0001732517,0.0006344693,0.3484212,0.006561345,0.0005272098,0.3877111,0.2363803,0.000188776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.257794,0.06200877,0.081443,0.2752592,0.001279471,0.001644385,0.001547975,0.0002641835,0.318759],"genre_scores_gemma":[0.9319604,0.02423419,0.03322734,0.003679835,0.0001183571,0.0007142368,0.0004065163,0.00006950308,0.005589575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08954702,"threshold_uncertainty_score":0.1780517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744994009750672,"score_gpt":0.3132900489229078,"score_spread":0.2558401088254011,"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."}}