{"id":"W4416933947","doi":"10.3329/mumcj.v8i2.85831","title":"Impact of Climate Change on Public Health and Adaptation Policies: Bangladesh Perspective","year":2025,"lang":"","type":"article","venue":"Mugda Medical College Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"Ministry of Environment","keywords":"Climate change; Public health; Extreme weather; Effects of global warming; Poverty; Population; Food security; Population health","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":[0.001420292,0.0008554514,0.0004585841,0.001661805,0.0008240996,0.00335525,0.0007562314,0.002981029,0.009729537],"category_scores_gemma":[0.002453321,0.0001936473,0.0005100676,0.002415645,0.001803373,0.00284479,0.001960448,0.00240122,0.0008863955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006204751,"about_ca_system_score_gemma":0.006289836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03243103,"about_ca_topic_score_gemma":0.02635128,"domain_scores_codex":[0.9989662,0.0004536924,0.0000451773,0.00006578262,0.0001274518,0.0003417683],"domain_scores_gemma":[0.9983323,0.000562718,0.000220029,0.00005043043,0.0004553149,0.0003792146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005298554,0.0003950601,0.04178463,0.01000099,0.0005800221,0.006833751,0.006405839,0.02083872,0.006329935,0.4861455,0.1449406,0.2752151],"study_design_scores_gemma":[0.00006805518,0.0004820281,0.08425713,0.007479345,0.0002178518,0.001345222,0.02197774,0.003228066,0.00152808,0.1152393,0.7639416,0.0002354544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05035264,0.2935355,0.002665474,0.4003932,0.002347855,0.0001486838,0.004030008,0.0001144349,0.2464122],"genre_scores_gemma":[0.6220222,0.3377943,0.001430207,0.02490666,0.001258155,0.0001697621,0.0006784294,0.00002599614,0.01171415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03243103,"threshold_uncertainty_score":0.06448454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118369520636766,"score_gpt":0.3940903338893611,"score_spread":0.2757208132525951,"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."}}