{"id":"W4385812420","doi":"10.12688/wellcomeopenres.19490.1","title":"Ethics, climate change and health – a landscape review","year":2023,"lang":"en","type":"review","venue":"Wellcome Open Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Wellcome Trust; World Health Organization","keywords":"Climate change; Normative; Population health; Political economy of climate change; Environmental planning; Political science; Environmental ethics; Environmental resource management; Population; Geography; Environmental health; Medicine; Environmental science; Ecology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02729329,0.0004064415,0.002138178,0.0002376241,0.0009267269,0.0003417111,0.001769017,0.000385567,0.004811779],"category_scores_gemma":[0.000321653,0.0003082617,0.0001407923,0.001774075,0.0002615544,0.0002748908,0.006506306,0.002593619,0.01754105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004464478,"about_ca_system_score_gemma":0.0002366623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004040193,"about_ca_topic_score_gemma":0.001850565,"domain_scores_codex":[0.9931442,0.001889811,0.0008785384,0.001046193,0.001224319,0.001816927],"domain_scores_gemma":[0.9968434,0.0009368282,0.0003279693,0.0009513774,0.00003035595,0.0009100889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002086947,0.0000266116,0.00003419927,0.1312589,0.000006702975,0.00002740507,0.0002273509,4.273557e-9,3.848565e-9,0.00009701398,0.1422407,0.726079],"study_design_scores_gemma":[0.000107816,0.0001419064,0.0000878248,0.1584613,0.00002982733,0.00003623288,0.00004768833,0.000002333702,6.272554e-9,0.0001076907,0.8407347,0.0002426711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.919339e-7,0.9551538,5.884927e-8,0.01760652,0.0001228008,0.007459256,0.0002121728,0.00005030399,0.01939478],"genre_scores_gemma":[1.802386e-7,0.9926272,0.0000448565,0.003164505,0.0002252026,0.001521706,0.0002616921,0.0001203955,0.002034261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7258363,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8548094160971125,"score_gpt":0.61723964698845,"score_spread":0.2375697691086625,"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."}}