{"id":"W3213800655","doi":"10.1111/gcb.16006","title":"Global increase in wildfire risk due to climate‐driven declines in fuel moisture","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Natural Resources Canada; Canadian Forest Service","funders":"NSW Department of Planning,Industry and Environment","keywords":"Environmental science; Biome; Climate change; Vegetation (pathology); Productivity; Global warming; Water content; Global change; Fire regime; Climatology; Moisture; Atmospheric sciences; Disturbance (geology); Physical geography; Ecosystem; Ecology; Geography; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003507151,0.0002396012,0.0003958027,0.00003243778,0.00004364004,0.00001808256,0.0003303507,0.0002874194,0.0001690407],"category_scores_gemma":[0.0003249572,0.00022598,0.00006256232,0.001029229,0.00008467841,0.0001096321,0.000613662,0.0001282419,0.0007733394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008863574,"about_ca_system_score_gemma":0.00002047806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06939679,"about_ca_topic_score_gemma":0.370966,"domain_scores_codex":[0.9977282,0.0004734915,0.0003195104,0.000669562,0.0001354259,0.0006738139],"domain_scores_gemma":[0.9992891,0.00005859697,0.00008940525,0.0003581666,0.000008337613,0.0001964046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006267392,0.0001165363,0.9833872,0.00001681234,0.000005669624,0.0005723404,0.0001148853,0.00001289986,0.00008030428,0.0000761876,0.0005252857,0.01502915],"study_design_scores_gemma":[0.0005782913,0.0001234746,0.990976,0.00004009522,0.00000683285,0.0001095275,0.00007262151,0.000467803,0.000006109995,0.0005240691,0.006860308,0.0002348511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943288,0.0008030598,0.00001306645,0.0008480256,0.0005782967,0.000467621,0.0006047591,0.00005014658,0.002306205],"genre_scores_gemma":[0.9977657,0.000155366,0.0004334587,0.001286309,0.0001784811,0.00008088561,0.00008378688,0.000008903431,0.000007152877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3015692,"threshold_uncertainty_score":0.9939972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241532865704357,"score_gpt":0.2609327763174878,"score_spread":0.2485174476604443,"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."}}