{"id":"W2103782736","doi":"10.1002/env.2278","title":"Lightning‐caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather","year":2014,"lang":"en","type":"article","venue":"Environmetrics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Simon Fraser University; Canadian Forest Service; University of Toronto; Western University; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Boreal; Lightning (connector); Environmental science; Taiga; Climate change; Fire regime; Climatology; Geography; Physical geography; Meteorology; Forestry; Ecosystem; Ecology; Power (physics); Geology; Archaeology","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":[0.000259722,0.0002128171,0.0001901049,0.0009438548,0.001742053,0.000850078,0.0005451849,0.0001920837,0.001463474],"category_scores_gemma":[0.0009084524,0.0001780856,0.0002451946,0.002068507,0.0007972828,0.0003248125,0.0005175038,0.0003057072,0.0001400366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02702255,"about_ca_system_score_gemma":0.02158097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973883,"about_ca_topic_score_gemma":0.9989874,"domain_scores_codex":[0.9997686,0.00001137019,0.00001081275,0.00004054953,0.00009509209,0.00007359123],"domain_scores_gemma":[0.9992852,0.00006012713,0.0002364948,0.00002227411,0.0002591338,0.00013691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007427332,0.00001865064,0.9805268,0.0000532407,0.00005790401,0.0001659779,0.0009941523,0.001347444,0.0007405979,0.0002229727,0.00172505,0.0140729],"study_design_scores_gemma":[0.00000422827,0.000007502314,0.9966056,0.00001655446,0.00001478883,0.00005086862,0.0009113426,0.001040903,0.0001158895,0.00007671219,0.001144468,0.000011063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993804,0.0008663462,0.0003020365,0.0003517579,0.000008051357,0.000011758,0.001979036,0.00003178685,0.00264529],"genre_scores_gemma":[0.9969592,0.0005120598,0.0002662053,0.00003031103,0.000003487303,0.000003446987,0.0008652846,0.000005269273,0.001354786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02702255,"threshold_uncertainty_score":0.1960632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004078376503010129,"score_gpt":0.1580486116109897,"score_spread":0.1539702351079795,"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."}}