{"id":"W4408486868","doi":"10.5194/egusphere-egu25-16116","title":"Daily Data-Driven Emulation of the Fire Weather Index: Deep Learning Solutions for Wildfire Risk Prediction","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emulation; Index (typography); Meteorology; Environmental science; Computer science; Geography; World Wide Web; Psychology","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":[0.0007487397,0.0006753455,0.0003789478,0.0003382679,0.0001853411,0.0005242112,0.001367777,0.0007213799,0.000774158],"category_scores_gemma":[0.002558206,0.0003172111,0.0004157844,0.0003768081,0.0003430782,0.001014552,0.0006063669,0.001421276,0.0002660443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915689,"about_ca_system_score_gemma":0.000770931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408284,"about_ca_topic_score_gemma":0.02163014,"domain_scores_codex":[0.9998542,0.00002793658,0.000007850828,0.00005094375,0.00003251832,0.00002647963],"domain_scores_gemma":[0.9996508,0.0001307926,0.00005451389,0.00005314636,0.00008098876,0.0000297341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007001394,0.00009134449,0.00566446,0.00002787814,0.00004348098,0.00004241521,0.00002865964,0.9287496,0.002010005,0.001767815,0.001433665,0.0600707],"study_design_scores_gemma":[0.00000153439,0.000004641165,0.0002951058,0.000001992484,0.000001713725,0.000003910661,0.000001894404,0.9985715,0.0003601218,0.0006392832,0.0001159713,0.000002290955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3188936,0.0008028857,0.6718712,0.0008988743,0.0001671577,0.0000549939,0.001169554,0.002313113,0.003828628],"genre_scores_gemma":[0.9602449,0.0002351726,0.03683656,0.0001412959,0.00004045656,0.00005152275,0.0009315975,0.00006998031,0.001448601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408284,"threshold_uncertainty_score":0.02800173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686110108690602,"score_gpt":0.2416688438508038,"score_spread":0.2248077427638977,"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."}}