{"id":"W2277463625","doi":"10.5194/bg-13-1933-2016","title":"Carbon sequestration in managed temperate coniferous forests under climate change","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Government of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations","keywords":"Climate change; Environmental science; Temperate climate; Temperate rainforest; Carbon sequestration; Forest management; Greenhouse gas; Carbon sink; Temperate forest; Primary production; Productivity; Ecosystem; Carbon cycle; Ecology; Agroforestry; Carbon dioxide; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006922552,0.0001298396,0.0001215918,0.0000719288,0.00009491405,0.00005357495,0.0002646252,0.00006220653,0.0001017453],"category_scores_gemma":[0.00002510192,0.00008218537,0.00002324385,0.0004027924,0.0002589155,0.0005155402,0.00009840629,0.00003911885,0.0002933982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797401,"about_ca_system_score_gemma":0.000009255547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01102284,"about_ca_topic_score_gemma":0.02493956,"domain_scores_codex":[0.9985406,0.0001106047,0.0001947515,0.0004064325,0.0003208258,0.0004267991],"domain_scores_gemma":[0.9995891,0.00005623681,0.00007811963,0.0001949551,0.000004368843,0.00007715088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006362219,0.00002456105,0.9605371,0.00000611827,8.353917e-7,0.00001044198,0.0001163168,0.000003093757,0.03076257,0.000288361,0.00001777316,0.008226468],"study_design_scores_gemma":[0.0002461368,0.0001136036,0.993795,0.00005940847,0.000002139504,0.000006085325,0.00004730426,0.001734593,0.003250141,0.0003801747,0.0001948631,0.0001705599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955623,0.00002914014,0.00002159508,0.0007166456,0.0003784587,0.0003883649,0.00000966332,0.00006132544,0.00283247],"genre_scores_gemma":[0.9995131,0.00004555277,0.00005699624,0.0001293887,0.00004749629,0.00007307994,0.00000125796,0.000007914584,0.0001251579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03325789,"threshold_uncertainty_score":0.9955629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042481080657492,"score_gpt":0.2365840508132923,"score_spread":0.2161592400067174,"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."}}