{"id":"W4411900540","doi":"10.1038/s41558-025-02372-4","title":"Extreme weather event attribution predicts climate policy support across the world","year":2025,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Alberta; Western University","funders":"European and Developing Countries Clinical Trials Partnership; Horizon 2020 Framework Programme; Bundesamt für Energie; Eidgenössisches Departement für Umwelt, Verkehr, Energie und Kommunikation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Attribution; Climatology; Extreme weather; Event (particle physics); Climate change; Environmental science; Geology; Psychology; Oceanography","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":[0.00116877,0.000144476,0.0001756931,0.001104142,0.0002794685,0.0009604535,0.0001860378,0.0003579563,0.003527354],"category_scores_gemma":[0.009585085,0.0001113622,0.0001961557,0.001478089,0.0004789634,0.0006902359,0.0009208841,0.0006063937,0.0002580069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001961295,"about_ca_system_score_gemma":0.0001421499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004077125,"about_ca_topic_score_gemma":0.004697239,"domain_scores_codex":[0.9994261,0.0002562591,0.00005706561,0.00008192221,0.0001163044,0.0000623456],"domain_scores_gemma":[0.9872973,0.004061554,0.006515645,0.0005359951,0.0006788056,0.0009108115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000294212,0.00004417875,0.9936193,0.00002307764,0.00009154145,0.0000348833,0.001029708,0.0003762409,0.0001430798,0.0002097626,0.000264469,0.004134364],"study_design_scores_gemma":[0.00000295612,0.00002370583,0.9969503,0.00001633974,0.00001230763,0.00002297301,0.001705491,0.0004385828,0.00004865122,0.0003149145,0.0004566946,0.000007044268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968473,0.0001137402,0.0002982597,0.0002046996,0.00001273738,0.00000449284,0.0003431805,0.000004115657,0.0021715],"genre_scores_gemma":[0.9995221,0.00008251574,0.00006636405,0.00002140684,0.000008550738,0.000003213206,0.0002074056,9.900132e-7,0.0000874298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004077125,"threshold_uncertainty_score":0.01180011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.292797258303431,"score_gpt":0.4855498150491006,"score_spread":0.1927525567456695,"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."}}