{"id":"W4408216193","doi":"10.22541/essoar.174139252.29820588/v1","title":"Understanding the impact of Forest Fires on Weather Patterns and Atmospheric circulations using an integrated Fire-Weather Forecasting Model","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":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"","keywords":"Environmental science; Meteorology; Weather prediction; Climatology; Weather patterns; Weather Research and Forecasting Model; Weather forecasting; Climate change; Geography; 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":[0.0002291278,0.0006458117,0.0005704472,0.0002153195,0.0005545909,0.0009424571,0.0006711048,0.001003132,0.001657574],"category_scores_gemma":[0.0008242935,0.0004177785,0.0006554587,0.0002992047,0.0002996723,0.0009223972,0.0003727812,0.000894825,0.0001461378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759313,"about_ca_system_score_gemma":0.001618399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.11337,"about_ca_topic_score_gemma":0.06653666,"domain_scores_codex":[0.9999306,0.000009524106,0.000004117801,0.00002468283,0.00001078772,0.00002012613],"domain_scores_gemma":[0.9997632,0.00009774775,0.00003270014,0.00001865776,0.00004073575,0.00004698924],"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":[0.00002400056,0.0000448053,0.002074969,0.000006003957,0.00001708262,0.00001975247,0.0000081485,0.9953279,0.0005908583,0.0002776348,0.000127556,0.001481144],"study_design_scores_gemma":[0.000006940881,0.00000436139,0.000428702,6.54923e-7,0.000004923047,0.000001190796,0.000002667603,0.9993064,0.0001067064,0.000103401,0.00003204622,0.000001987263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724238,0.0001233505,0.01899281,0.000350456,0.00006770972,0.00003151898,0.0007961377,0.000384322,0.006829895],"genre_scores_gemma":[0.9937409,0.00006770599,0.004132233,0.0000371592,0.00002057849,0.0000149538,0.0005801512,0.00003927786,0.001367113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.11337,"threshold_uncertainty_score":0.2254203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09304286282981739,"score_gpt":0.2865832835513773,"score_spread":0.1935404207215599,"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."}}