{"id":"W2172494291","doi":"10.1139/cjfr-2013-0372","title":"A refinement of models projecting future Canadian fire regimes using homogeneous fire regime zones","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada","keywords":"Boreal; Fire regime; Homogeneous; Environmental science; Spatial heterogeneity; Taiga; Hfr cell; Physical geography; Ecosystem; Geography; Atmospheric sciences; Ecology; Forestry; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003242332,0.0001979624,0.0003722993,0.0005034156,0.0005890458,0.0001023203,0.0008125987,0.0001771007,0.0003300019],"category_scores_gemma":[0.0004711539,0.000176735,0.0001292851,0.0008279884,0.0003288477,0.0003340261,0.00006446408,0.0006464447,0.00003359536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188604,"about_ca_system_score_gemma":0.002130565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.875842,"about_ca_topic_score_gemma":0.9681219,"domain_scores_codex":[0.996695,0.000443493,0.0005497718,0.0002947973,0.0009042084,0.001112694],"domain_scores_gemma":[0.9972602,0.000161456,0.0002917358,0.0004916235,0.0002325318,0.001562463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001841774,0.0001516314,0.5906801,0.0007393879,0.0003294169,0.003285783,0.0108624,0.1213684,0.001750495,0.002480593,0.08283986,0.1853277],"study_design_scores_gemma":[0.003150376,0.004559363,0.1293463,0.003690129,0.0001553744,0.00580641,0.006103213,0.617045,0.001841257,0.00623984,0.2199374,0.002125378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991742,0.0007152878,0.00005113523,0.001363949,0.0003528326,0.0003915446,0.00002016043,0.000004897852,0.00535817],"genre_scores_gemma":[0.9977454,0.00002460988,0.001074646,0.00004631666,0.0004437632,0.00000670304,0.00000270069,0.00004098731,0.0006149061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4956765,"threshold_uncertainty_score":0.7207045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366189188367407,"score_gpt":0.2763421341036786,"score_spread":0.2397232152669379,"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."}}