{"id":"W2144962220","doi":"10.1111/j.1757-1707.2012.01181.x","title":"Assessing the potential of wildfires as a sustainable bioenergy opportunity","year":2012,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CYTED Ciencia y Tecnología para el Desarrollo; International Development Research Centre; Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Bioenergy; Greenhouse gas; Environmental science; Fossil fuel; Biomass (ecology); Natural resource economics; Biofuel; Land use; Agroforestry; Environmental protection; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441989,0.0002777165,0.0001788831,0.0005307399,0.0002656238,0.001049613,0.0002340262,0.0005909545,0.001918758],"category_scores_gemma":[0.002174012,0.00008907379,0.000350589,0.0005282855,0.0003299136,0.001150456,0.0005480601,0.0003873734,0.0001445341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005661851,"about_ca_system_score_gemma":0.0003357063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344831,"about_ca_topic_score_gemma":0.0105839,"domain_scores_codex":[0.999605,0.0001984684,0.00001698028,0.00003873658,0.00008190398,0.00005901337],"domain_scores_gemma":[0.9985178,0.0008091584,0.0002768333,0.00006189072,0.0001628995,0.0001712681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000381655,0.0002187495,0.9046457,0.00008650384,0.000247374,0.0003325881,0.0001199498,0.05586872,0.003912956,0.004467485,0.0004969109,0.02922141],"study_design_scores_gemma":[0.00004413145,0.001133034,0.7916301,0.0001067084,0.0002089713,0.0004167877,0.003713217,0.1685081,0.006226836,0.02446548,0.003489201,0.00005744501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925575,0.0002857285,0.002177101,0.0001160238,0.000009502627,0.00001509545,0.0001703669,0.000006428053,0.004662198],"genre_scores_gemma":[0.9990484,0.0001114992,0.0005606759,0.00001458944,0.000004067928,0.000004065927,0.00005824619,0.00000135827,0.0001971097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003344831,"threshold_uncertainty_score":0.007626057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117357867729104,"score_gpt":0.2501193791630411,"score_spread":0.23894580048575,"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."}}