{"id":"W3023138125","doi":"10.1002/ecy.3096","title":"Arctic and boreal paleofire records reveal drivers of fire activity and departures from Holocene variability","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Arctic Sciences; Division of Emerging Frontiers","keywords":"Fire regime; Environmental science; Climate change; Boreal; Biome; Tundra; Holocene; Context (archaeology); Vegetation (pathology); Taiga; Black spruce; Ecology; Climatology; Fire ecology; Physical geography; Ecosystem; Ecoregion; Biomass (ecology); Abrupt climate change; Global warming; Geography; Oceanography; Geology; Effects of global warming","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":[0.0006657496,0.000220164,0.0001506392,0.001292459,0.0003675911,0.0006987246,0.0001761244,0.0002070926,0.0006218161],"category_scores_gemma":[0.001178142,0.0001411497,0.0002897462,0.001071242,0.0002172169,0.0003775098,0.0003708385,0.0001570776,0.000119855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003015415,"about_ca_system_score_gemma":0.0002561397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03456045,"about_ca_topic_score_gemma":0.07762088,"domain_scores_codex":[0.9997788,0.00003634624,0.00003131486,0.00009203789,0.00002975546,0.00003162985],"domain_scores_gemma":[0.9993541,0.0001266271,0.0002536353,0.00006560489,0.0001277433,0.0000723335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000323826,0.000007765638,0.9952814,0.000009969696,0.00005278695,0.00001901467,0.0001617143,0.0001552852,0.0007862513,0.00003931718,0.00008267869,0.003371302],"study_design_scores_gemma":[7.711457e-7,0.0000049634,0.9993778,0.000002963182,0.000009012696,0.00002067015,0.00008524465,0.0002208625,0.00005129761,0.00001195407,0.0002126482,0.000001649994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980697,0.0002460392,0.0001154746,0.00001958905,0.000004540293,0.000002706287,0.000904384,0.000009976246,0.0006276714],"genre_scores_gemma":[0.9979634,0.0001275546,0.0002562401,0.00001094508,0.000007345951,0.000005033557,0.001489032,0.000004449082,0.0001360183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03456045,"threshold_uncertainty_score":0.06871855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006031726091811534,"score_gpt":0.1997612856188699,"score_spread":0.1937295595270583,"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."}}