{"id":"W2794902258","doi":"10.1002/eap.1724","title":"Current and projected cumulative impacts of fire, drought, and insects on timber volumes across Canada","year":2018,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Spruce budworm; Disturbance (geology); Environmental science; Mountain pine beetle; Climate change; Ecology; Geography; Vegetation (pathology); Cumulative effects; Forestry; Biology; Lepidoptera genitalia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003374846,0.0005145729,0.0002664654,0.0008476505,0.001273726,0.001506458,0.0008545716,0.0004116826,0.002377245],"category_scores_gemma":[0.0007601,0.0002994972,0.0008845326,0.001329284,0.0004946808,0.0004700058,0.0005411565,0.0005515308,0.0001820016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02834267,"about_ca_system_score_gemma":0.02829233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993117,"about_ca_topic_score_gemma":0.9941601,"domain_scores_codex":[0.9997202,0.00002161221,0.00001056803,0.00004447571,0.00008145349,0.0001217776],"domain_scores_gemma":[0.9995551,0.00004069232,0.00003525401,0.00001311482,0.0002465967,0.0001092251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002203773,0.00007968242,0.3475523,0.0001433139,0.0003018752,0.000367467,0.0003651906,0.6213907,0.001373781,0.002595812,0.00593845,0.01967118],"study_design_scores_gemma":[0.000120783,0.0001176434,0.4504719,0.0002234572,0.0003076309,0.0002160853,0.002810282,0.528284,0.00136374,0.001620571,0.01426756,0.0001962818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976428,0.0006346155,0.001489715,0.0005665195,0.00002635087,0.00004177546,0.01256149,0.0001542874,0.008097302],"genre_scores_gemma":[0.9914399,0.0006861225,0.001184846,0.00007484629,0.000003743128,0.00001893792,0.0044295,0.00001360352,0.002148397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02834267,"threshold_uncertainty_score":0.2056414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085246282338624,"score_gpt":0.267979951193292,"score_spread":0.2571274883699058,"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."}}