{"id":"W4408426554","doi":"10.5194/egusphere-egu25-10006","title":"Cross-country dependencies in fire weather enhance the danger of extremely widespread fires in Europe","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forensic engineering; Geography; Computer security; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006776184,0.0002229958,0.0003004055,0.00105468,0.0002770326,0.001191918,0.0002456679,0.0003552577,0.001731618],"category_scores_gemma":[0.002435364,0.0001272579,0.0006475754,0.001543471,0.0003336059,0.0006499395,0.0008442288,0.0005062381,0.0002718839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003079685,"about_ca_system_score_gemma":0.0002409994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03105616,"about_ca_topic_score_gemma":0.03945812,"domain_scores_codex":[0.9995803,0.00008315055,0.00003348142,0.0001648326,0.00005268397,0.00008557709],"domain_scores_gemma":[0.9988101,0.0003545353,0.0004584548,0.0001181801,0.0001411058,0.0001177757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116894,0.00003501786,0.9714475,0.00004019081,0.0002479791,0.0003006929,0.0001749591,0.01490223,0.0005619232,0.0007435695,0.002690417,0.008743823],"study_design_scores_gemma":[0.000008037508,0.00001281225,0.9846809,0.00003388231,0.00006162427,0.0001547555,0.0004601076,0.01140427,0.0002590486,0.0005061296,0.002399285,0.00001908672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992232,0.0004680309,0.001219455,0.0001907233,0.00001883682,0.000006625519,0.002977713,0.00004103407,0.002845674],"genre_scores_gemma":[0.9962124,0.0001901376,0.0005225117,0.00004599395,0.00001392351,0.000004386227,0.002725689,0.00001402062,0.0002711314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03105616,"threshold_uncertainty_score":0.06175077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212266305014274,"score_gpt":0.3387870643057764,"score_spread":0.3166644012556337,"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."}}