{"id":"W2090764910","doi":"10.1002/env.1067","title":"Characterizing temporal changes in forest fire ignitions: looking for climate change signals in a region of the Canadian boreal forest","year":2010,"lang":"en","type":"article","venue":"Environmetrics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Burnaby Hospital; Simon Fraser University; Wilfrid Laurier University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Climate change; Environmental science; Taiga; Boreal; Climatology; Physical geography; Meteorology; Environmental resource management; Geography; Ecology; Forestry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008110497,0.0001836696,0.0002422886,0.0003485335,0.0001591488,0.00003011663,0.0003717516,0.0002137935,0.00003568718],"category_scores_gemma":[0.0003031832,0.0001599213,0.0000697862,0.0009828146,0.0001582557,0.0002535938,0.0001396029,0.0003296601,0.00002225726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387707,"about_ca_system_score_gemma":0.00001870765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2169286,"about_ca_topic_score_gemma":0.9536352,"domain_scores_codex":[0.9984317,0.00007889155,0.0003184515,0.0003282938,0.0002723988,0.0005701991],"domain_scores_gemma":[0.9990339,0.0002327242,0.0002330095,0.0003726208,0.000004285002,0.0001235118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008006001,0.00005210172,0.9856655,0.00004813484,0.00000181131,0.00001384887,0.000391024,0.00003369061,0.001385713,0.0000349861,0.0000378376,0.01232733],"study_design_scores_gemma":[0.0003586355,0.00006993609,0.9878598,0.00009407428,0.000006784941,0.00001042663,0.00004654325,0.007256859,0.0006004868,0.0001232962,0.003390377,0.0001827418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966875,0.00004668937,0.00001585949,0.0007415217,0.0002816429,0.00137257,0.00006790135,0.000011889,0.000774385],"genre_scores_gemma":[0.9988958,0.00005575209,0.0002265167,0.0002468713,0.0001097297,0.0003733455,0.00003725841,0.00003506936,0.00001971522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7367066,"threshold_uncertainty_score":0.7882859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236415583634558,"score_gpt":0.2224396662994924,"score_spread":0.2000755104631469,"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."}}