{"id":"W6946598795","doi":"10.34657/1121","title":"Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE - Part 1: Simulating historical global burned area and fire regimes","year":2014,"lang":"en","type":"article","venue":"TIB Repositorium","topic":"Biological Activity of Diterpenoids and Biflavonoids","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Taiga; Boreal; Fire regime; Global change; Carbon cycle; Terrestrial ecosystem; Climate change; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000408458,0.0005968972,0.0004672401,0.0003659403,0.0002654522,0.0006219388,0.0009952319,0.0007186578,0.001305854],"category_scores_gemma":[0.0007158639,0.0003637702,0.0006568475,0.0005180059,0.000300836,0.0006386121,0.0004677133,0.0006069327,0.0001719899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052891,"about_ca_system_score_gemma":0.0007882096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03700648,"about_ca_topic_score_gemma":0.02684338,"domain_scores_codex":[0.9999,0.00002561278,0.000006863345,0.0000290186,0.000017253,0.00002115622],"domain_scores_gemma":[0.9997899,0.00009503483,0.00002384685,0.00002510707,0.00003653643,0.00002960459],"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":[0.00004267256,0.00004331543,0.006433406,0.00002380412,0.00004139357,0.0000319861,0.0000296307,0.9895354,0.001136154,0.0005073535,0.0001940856,0.001980781],"study_design_scores_gemma":[0.00004052327,0.00002872905,0.002917846,0.000004604963,0.00001654953,0.00001035402,0.00001134141,0.9955001,0.0007000741,0.000223331,0.000536929,0.000009629003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727491,0.0001757483,0.0183614,0.0001328386,0.0000373931,0.00006873238,0.002794715,0.0004972797,0.005182832],"genre_scores_gemma":[0.9868287,0.0001211432,0.01058113,0.00003019921,0.000009684233,0.00006503506,0.001493329,0.0000832204,0.0007875062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03700648,"threshold_uncertainty_score":0.07358211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009680330676201136,"score_gpt":0.2224392202869431,"score_spread":0.212758889610742,"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."}}