{"id":"W4315780261","doi":"10.5194/nhess-23-65-2023","title":"A data-driven model for Fennoscandian wildfire danger","year":2023,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Aeronautics and Space Administration","keywords":"Environmental science; Hydrometeorology; Satellite; Random forest; Meteorology; Computer science; Climatology; Precipitation; Geography; Machine learning; Geology","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":[0.001617713,0.0006841345,0.0006185957,0.0007488322,0.0004575285,0.0007789061,0.001542618,0.00100737,0.001753867],"category_scores_gemma":[0.002260881,0.0004293314,0.0009108754,0.0004623016,0.0004497836,0.0005946176,0.000561548,0.001341354,0.0002544257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142252,"about_ca_system_score_gemma":0.001414358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1011894,"about_ca_topic_score_gemma":0.07754718,"domain_scores_codex":[0.9997956,0.00005550214,0.00001171776,0.00007079315,0.00002710968,0.00003932041],"domain_scores_gemma":[0.9989692,0.0006453246,0.00007929379,0.00002942801,0.0002283331,0.00004843606],"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":[0.00002854306,0.00003226134,0.004020694,0.000008905895,0.00001854108,0.00002962927,0.00001615224,0.9918315,0.0001565887,0.0005808567,0.0001908042,0.003085528],"study_design_scores_gemma":[0.000002368393,0.000004016879,0.0003368693,0.00000145335,0.000002025859,0.000002290255,0.000002709995,0.9993762,0.00004094494,0.000186337,0.0000428687,0.000001903513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8744498,0.0003470957,0.1187764,0.0007622217,0.00006963394,0.0001125972,0.002387958,0.0005191604,0.002575239],"genre_scores_gemma":[0.9862701,0.00006035182,0.01077289,0.00006132047,0.00001140478,0.0001081748,0.001162915,0.00001742704,0.001535353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1011894,"threshold_uncertainty_score":0.2012009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713729118453383,"score_gpt":0.2699348825866359,"score_spread":0.2427975914021021,"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."}}