{"id":"W2124230963","doi":"10.1111/j.1365-2486.2010.02369.x","title":"An inventory-based analysis of Canada's managed forest carbon dynamics, 1990 to 2008","year":2010,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of Environment; Ministry of Health; Government of British Columbia; Ministère des Ressources naturelles et des Forêts (Québec); Natural Resources Canada; Canadian Forest Service","funders":"Government of Canada; Australian Government; Strong","keywords":"Primary production; Environmental science; Biomass (ecology); Ecosystem; Biome; Carbon cycle; Terrestrial ecosystem; Atmospheric sciences; Carbon sequestration; Organic matter; Forestry; Forest ecology; Ecology; Geography; Carbon dioxide; Biology","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":[0.0002551895,0.0001457277,0.0002971073,0.00007893247,0.00004261308,0.000005471334,0.000396368,0.0001334994,0.0001880292],"category_scores_gemma":[0.00004730104,0.000136775,0.00005969629,0.0007882655,0.0001025161,0.00003138855,0.00008869226,0.00008363377,0.00001372562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537674,"about_ca_system_score_gemma":0.00003414341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9350058,"about_ca_topic_score_gemma":0.9980136,"domain_scores_codex":[0.9988009,0.0001117615,0.0001901717,0.00036101,0.0001566125,0.0003795049],"domain_scores_gemma":[0.999166,0.00002228914,0.0001024859,0.0004704208,0.00001165678,0.0002272086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001636659,0.00003555802,0.996849,0.000005993184,0.00005360705,0.000007007686,0.0000217678,0.00009526785,0.0009299659,0.0001322418,0.0003600327,0.001493165],"study_design_scores_gemma":[0.0001321051,0.0001640784,0.8555949,0.000002427746,0.00007753015,0.000001046413,0.00001387815,0.1414493,0.00004416681,0.00002658028,0.002334586,0.0001593709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965862,0.00001307858,0.00006621866,0.0003418802,0.0006326385,0.0003030414,0.0003770842,0.00002624327,0.001653623],"genre_scores_gemma":[0.9990638,4.477812e-7,0.0001546473,0.000485171,0.00006155287,0.00003950877,0.0001707627,0.000007168886,0.00001695911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.141354,"threshold_uncertainty_score":0.5577521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007933557181404774,"score_gpt":0.2268444831022314,"score_spread":0.2189109259208266,"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."}}