{"id":"W2141505345","doi":"10.1098/rstb.2007.2198","title":"Could increased boreal forest ecosystem productivity offset carbon losses from increased disturbances?","year":2007,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Taiga; Environmental science; Primary production; Disturbance (geology); Ecosystem; Climate change; Ecology; Boreal ecosystem; Productivity; Boreal; Forest ecology; Carbon cycle; Atmospheric sciences; Agroforestry; Physical geography; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002355667,0.0003246126,0.0004706482,0.00001984082,0.0007299876,0.00004532684,0.001164259,0.0003282947,0.0002105692],"category_scores_gemma":[0.000275109,0.000185106,0.0004965719,0.0009076232,0.002415227,0.0001618781,0.0001249678,0.000486322,0.00001976784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634721,"about_ca_system_score_gemma":0.0000398229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02265138,"about_ca_topic_score_gemma":0.002737296,"domain_scores_codex":[0.9966482,0.0003977228,0.0005724894,0.0008589848,0.0009159817,0.0006066231],"domain_scores_gemma":[0.997896,0.001025023,0.0003097455,0.0004864233,0.00003039496,0.0002524669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000177916,0.0009580975,0.9864547,0.0000503743,0.00009445218,0.000003535554,0.0001656154,0.001728345,0.007093507,0.0002867453,0.0001109229,0.002875751],"study_design_scores_gemma":[0.0005718676,0.0005380302,0.9416552,0.00008581429,0.00007801994,0.000006527604,0.00009987578,0.0387796,0.007349933,0.009964014,0.0003792503,0.0004918495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910846,0.0001063773,0.001790097,0.001956928,0.0004004598,0.0006669833,0.0001868931,0.0001089572,0.003698673],"genre_scores_gemma":[0.99881,0.00001411624,0.0006945293,0.0001500626,0.0002581721,0.00003681284,0.00001066964,0.00001101217,0.00001465418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04479952,"threshold_uncertainty_score":0.9838569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206217735951198,"score_gpt":0.2369929662825922,"score_spread":0.2163711926874724,"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."}}