{"id":"W2083076396","doi":"10.1016/s0378-1127(02)00303-1","title":"Carbon sequestration in a boreal forest ecosystem: results from the ecosystem simulation model, FORECAST","year":2002,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Biomass (ecology); Pinus contorta; Ecosystem; Carbon sequestration; Understory; Carbon cycle; Boreal ecosystem; Soil carbon; Litter; Agronomy; Taiga; Ecology; Biology; Soil science; Soil water; Canopy; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006410165,0.0002075929,0.0002240116,0.00006048982,0.0001531705,0.00004873224,0.0002303864,0.0001485465,0.00003758405],"category_scores_gemma":[0.00004035879,0.0001646316,0.00003762571,0.0001704693,0.00004878906,0.0002146753,0.0001934937,0.0001326381,0.0001224391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073878,"about_ca_system_score_gemma":0.000003289114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119578,"about_ca_topic_score_gemma":0.3131642,"domain_scores_codex":[0.9982324,0.0001998698,0.0004821374,0.0005127184,0.0002065848,0.0003663254],"domain_scores_gemma":[0.9990742,0.000270744,0.000190082,0.0003911666,0.000006834469,0.00006702243],"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":[0.00009088472,0.0001056679,0.3294868,0.00007094225,0.00003725333,0.00005549631,0.0007003289,0.6646413,0.000004945909,0.001195532,0.001526627,0.002084219],"study_design_scores_gemma":[0.0007648313,0.00008533987,0.3297271,0.00003777939,0.00002235082,0.000002384463,0.00004064739,0.6672142,0.000001890054,0.000681977,0.001304505,0.0001169774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975786,0.00002960012,0.0003640957,0.0004335887,0.0002593723,0.001528574,0.00006454899,0.00005627249,0.02147799],"genre_scores_gemma":[0.9989813,0.00006316885,0.0001545388,0.0001215423,0.00006564777,0.0002239429,0.00008308992,0.00001882261,0.0002879601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3110447,"threshold_uncertainty_score":0.6993687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379014816885122,"score_gpt":0.2061399049116808,"score_spread":0.1923497567428296,"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."}}