{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863068,0.00040662,0.0002428098,0.00312673,0.0009155977,0.0009687213,0.0008548778,0.0002054807,0.001057255],"category_scores_gemma":[0.001210699,0.0002364501,0.0004010438,0.006988153,0.0002166019,0.0003258139,0.0003895482,0.0002860179,0.0001865046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03016929,"about_ca_system_score_gemma":0.02364068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943544,"about_ca_topic_score_gemma":0.9963486,"domain_scores_codex":[0.9997194,0.00001172266,0.00001613925,0.00005362064,0.0001308775,0.00006820289],"domain_scores_gemma":[0.99831,0.00006430413,0.0002258274,0.00005317853,0.001160613,0.000186146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000162965,0.0000636421,0.9358792,0.0002099033,0.0004465093,0.0001776908,0.0006021018,0.01071227,0.001038415,0.0009985212,0.01750905,0.03219967],"study_design_scores_gemma":[0.00001078378,0.00001078423,0.9788049,0.00004759308,0.00006444749,0.00003602989,0.0002924739,0.009601193,0.0002572808,0.00006970915,0.01078709,0.00001756869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8873535,0.001483744,0.0007938668,0.0002381593,0.00001330523,0.00007664872,0.1036202,0.0001332505,0.006287275],"genre_scores_gemma":[0.9302818,0.0009619283,0.00266365,0.0000906393,0.00001130978,0.00007277547,0.06240673,0.00002158398,0.003489571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03016929,"threshold_uncertainty_score":0.2188945,"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."}}