{"id":"W2220861217","doi":"10.1002/wcc.380","title":"Attribution of extreme weather and climate‐related events","year":2015,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":782,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Pacific Institute for Climate Solutions","funders":"Met Office; Department for Environment, Food and Rural Affairs, UK Government; European Commission; Newton Fund","keywords":"Attribution; Climate change; Extreme weather; Event (particle physics); Climatology; Environmental science; Geography; Environmental resource management; Psychology; Ecology; Social psychology","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":[0.004504461,0.0003333792,0.0002822154,0.005528376,0.0006228363,0.002491211,0.0008880494,0.0006647076,0.006694468],"category_scores_gemma":[0.0250388,0.0002001077,0.0003561209,0.00715498,0.0008877263,0.002348792,0.002376678,0.001044642,0.001329097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090812,"about_ca_system_score_gemma":0.001149169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004725392,"about_ca_topic_score_gemma":0.003974306,"domain_scores_codex":[0.996863,0.0007533824,0.0004188077,0.0005368251,0.001162248,0.0002658057],"domain_scores_gemma":[0.9846699,0.003823324,0.005537991,0.001901478,0.003346152,0.0007210668],"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":[0.0004949705,0.0001124547,0.4060817,0.001447643,0.0002972691,0.0004879497,0.00474848,0.01026595,0.001695325,0.03178323,0.0312148,0.5113701],"study_design_scores_gemma":[0.00003055159,0.0001080227,0.7396318,0.001196221,0.0001186763,0.0005398583,0.005103293,0.02049475,0.002275178,0.06887203,0.161462,0.0001674949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5637881,0.01224996,0.1470785,0.006403276,0.004339178,0.001146355,0.04445878,0.00300728,0.2175286],"genre_scores_gemma":[0.9569989,0.004124004,0.01885695,0.0003139806,0.000745745,0.0002894219,0.01207952,0.0002349835,0.00635654],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006694468,"threshold_uncertainty_score":0.02382213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031099080887185,"score_gpt":0.3748440042231992,"score_spread":0.1717340961344808,"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."}}