{"id":"W4288926139","doi":"10.1016/j.envsoft.2022.105473","title":"The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation","year":2022,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Institute, California State University; National Institute of Food and Agriculture; Environmental Defense Fund; U.S. Department of Energy; Gordon and Betty Moore Foundation; Royal Bank of Canada; University of California; Zegar Family Foundation; National Science Foundation","keywords":"Biome; Taiga; Boreal; Temperate climate; Environmental science; Disturbance (geology); Temperate rainforest; Temperate forest; Fire regime; Climate change; Forest dynamics; Forest ecology; Boreal ecosystem; Fire ecology; Ecosystem; Environmental resource management; Ecology; Geography; Physical geography; Forestry; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009858375,0.0002693378,0.0001930975,0.00002442878,0.00161944,0.00009618261,0.0001697853,0.00005863232,0.00008045979],"category_scores_gemma":[0.00001494685,0.0002280479,0.00002834038,0.00006936846,0.0001652419,0.0002114827,0.0006266656,0.000210843,0.00002423481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006867449,"about_ca_system_score_gemma":0.00001523167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001752049,"about_ca_topic_score_gemma":0.000295808,"domain_scores_codex":[0.9977898,0.0002126918,0.0003278449,0.0005978182,0.0007069319,0.0003649399],"domain_scores_gemma":[0.9992327,0.0002081607,0.0001325984,0.0002703552,0.000002095213,0.0001540654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000695904,0.00008139845,0.2810211,0.0000626256,0.00004796074,0.00001207074,0.002039686,0.5925226,0.0001982358,0.00001086563,0.00006630171,0.1238675],"study_design_scores_gemma":[0.0005222482,0.0001064349,0.06966285,0.00001966963,0.00002855458,0.00005009294,0.0003004747,0.9255528,0.00003139061,0.0001779992,0.003270083,0.0002774301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994948,0.002019052,0.001749141,0.00005284488,0.0001249036,0.0009829653,0.00004494336,0.00005670891,0.00002149306],"genre_scores_gemma":[0.9979018,0.0001885492,0.001294075,0.00004440837,0.00001388584,0.0002927224,0.00006384688,0.00004596316,0.0001547362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3330302,"threshold_uncertainty_score":0.9996803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007383606729635929,"score_gpt":0.1994371643658096,"score_spread":0.1920535576361737,"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."}}