{"id":"W2784333872","doi":"10.2760/13180","title":"Forest fire danger extremes in Europe under climate change: variability and uncertainty","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Climatology; Environmental science; Geography; Environmental resource management; Physical geography; Meteorology; Ecology; Geology; Biology","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":[0.004010969,0.0003823269,0.0004253721,0.001197631,0.0002454441,0.00166007,0.0005257304,0.0006807908,0.0003752607],"category_scores_gemma":[0.005806057,0.0002001649,0.0009071515,0.001422114,0.0003585496,0.0008510529,0.0008502679,0.0004259266,0.0001170031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240439,"about_ca_system_score_gemma":0.0002273124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00965597,"about_ca_topic_score_gemma":0.005485553,"domain_scores_codex":[0.998955,0.0003787682,0.00008395421,0.0003276231,0.0001543047,0.0001003102],"domain_scores_gemma":[0.9967121,0.002144822,0.0005050823,0.0002238224,0.0003060816,0.0001080727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002871858,0.00005767351,0.5766362,0.00006118295,0.0005139413,0.0003535639,0.0002391734,0.4000371,0.0006618698,0.002291588,0.001094808,0.01776575],"study_design_scores_gemma":[0.00002136113,0.00009693397,0.5261822,0.00008034851,0.0001059818,0.0003125163,0.0004662871,0.4614254,0.0006010492,0.00713473,0.003484837,0.00008827461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851989,0.000735598,0.008838613,0.0002212169,0.00002203811,0.00001799001,0.002312929,0.00007457117,0.002578177],"genre_scores_gemma":[0.99774,0.0001592018,0.0007393841,0.00001459799,0.00001253753,0.00001024184,0.001221674,0.000006698096,0.00009568633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00965597,"threshold_uncertainty_score":0.02121234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958985224219277,"score_gpt":0.2346655972564357,"score_spread":0.215075745014243,"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."}}