{"id":"W4405559077","doi":"10.3389/fclim.2024.1499765","title":"Climate extremes and risks: links between climate science and decision-making","year":2024,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"HORIZON EUROPE Framework Programme; Institute for Basic Science; European Commission; Earth Sciences Division; Sight Research UK; Natural Environment Research Council; Fundação de Amparo à Pesquisa do Estado de São Paulo; Universität Hamburg; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Climate science; Climate extremes; Climate change; Environmental science; Environmental planning; Risk analysis (engineering); Environmental resource management; Business; Geology","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":[0.01820556,0.001433198,0.001408798,0.003854047,0.004152758,0.02313213,0.002639945,0.008739062,0.007804334],"category_scores_gemma":[0.02522352,0.0008805864,0.001369826,0.004003772,0.02556447,0.02143019,0.01347424,0.01095808,0.0009698606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008744115,"about_ca_system_score_gemma":0.01234603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007052553,"about_ca_topic_score_gemma":0.006227566,"domain_scores_codex":[0.9865946,0.008974764,0.000464407,0.001188321,0.001914459,0.0008634914],"domain_scores_gemma":[0.9682137,0.02533736,0.001997018,0.001004802,0.00148198,0.001965134],"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":[0.00003738068,0.0000530118,0.001544642,0.0003265048,0.00007613815,0.0001572035,0.002051299,0.01058486,0.0001292572,0.9498936,0.005356574,0.02978952],"study_design_scores_gemma":[0.000004172252,0.00001556648,0.0003604261,0.0003530519,0.00001237631,0.00003727067,0.0009272296,0.00209654,0.00005005206,0.9769841,0.01913253,0.00002672008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02398686,0.07962348,0.2668942,0.4643572,0.003063371,0.0002612126,0.0005776646,0.0002629603,0.1609731],"genre_scores_gemma":[0.8146322,0.07559435,0.07613823,0.02176752,0.00400466,0.0006188275,0.000392686,0.000124057,0.006727438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02313213,"threshold_uncertainty_score":0.09628129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02967020021682908,"score_gpt":0.3095017420729681,"score_spread":0.279831541856139,"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."}}