{"id":"W2125523440","doi":"10.1071/wf06009","title":"Spatial patterns of forest fires in Canada, 1980–1999","year":2006,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; The King's University; Canadian Forest Service","funders":"","keywords":"Fire regime; Spatial ecology; Geography; Spatial variability; Physical geography; Common spatial pattern; Environmental science; Metric (unit); Spatial analysis; Spatial distribution; Ecosystem; Remote sensing; Ecology; Statistics","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":[0.0001612228,0.00008632532,0.0001676111,0.00005176181,0.00001306957,0.00001397554,0.0003705774,0.00003104008,0.0002697711],"category_scores_gemma":[0.00003034291,0.00007174612,0.00005715038,0.00004740198,0.00002163593,0.0001569445,0.00005697436,0.0001168705,0.000007614057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005421788,"about_ca_system_score_gemma":0.00009540927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714215,"about_ca_topic_score_gemma":0.9808313,"domain_scores_codex":[0.9986215,0.000028634,0.0004893279,0.00008891772,0.0006450943,0.0001264835],"domain_scores_gemma":[0.9994192,0.00007240775,0.0003604606,0.00007324287,0.00003089428,0.0000438492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004370683,0.00005638636,0.9851431,0.000005070773,0.00001553243,0.0001847008,0.00005896503,0.006651916,0.0001633412,0.000005690983,0.00167072,0.006000881],"study_design_scores_gemma":[0.0006183569,0.00005530603,0.9890717,0.0001067597,0.000004277118,0.00009945349,0.00002865646,0.007189531,0.0002045014,0.0000686549,0.002479227,0.00007352728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981344,0.00006080742,0.00009142073,0.0004104048,0.0007561913,0.00005578933,0.00003882295,0.000001804092,0.0004503272],"genre_scores_gemma":[0.999534,0.00001164973,0.00004167793,0.00006439985,0.0002595866,0.00000126212,0.000006759968,0.000007574903,0.00007311488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009409687,"threshold_uncertainty_score":0.2953805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003156299795245459,"score_gpt":0.18760991834446,"score_spread":0.1844536185492146,"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."}}