{"id":"W2125741084","doi":"10.1098/rstb.2007.0029","title":"Generating carbon finance through avoided deforestation and its potential to create climatic, conservation and human development benefits","year":2008,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Deforestation (computer science); Natural resource economics; Corporate governance; Climate change; Business; Greenhouse gas; Euros; Biodiversity; Biodiversity conservation; Additionality; Clean Development Mechanism; Climate Finance; Climate change mitigation; Economics; Developing country; Finance; Public economics; Ecology; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003717932,0.0003881122,0.000233608,0.0008304347,0.0005915076,0.001667233,0.0005783174,0.001670365,0.007373562],"category_scores_gemma":[0.005408367,0.0001644067,0.0002848488,0.0005277563,0.001319738,0.001985983,0.002157558,0.0008383652,0.0003973786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054815,"about_ca_system_score_gemma":0.001975232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008130814,"about_ca_topic_score_gemma":0.001398649,"domain_scores_codex":[0.9989908,0.0004958209,0.00003090376,0.00008015434,0.0002143399,0.0001878865],"domain_scores_gemma":[0.9981064,0.0006927886,0.0005283674,0.0001654166,0.0002604156,0.0002466147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003357437,0.000372058,0.01009916,0.0003218325,0.00009009193,0.0003796557,0.0002275218,0.04069692,0.004274486,0.7900769,0.008611611,0.1445141],"study_design_scores_gemma":[0.0004118293,0.0008775266,0.04128905,0.0005802625,0.0001210124,0.00107057,0.0005630645,0.1040275,0.008816088,0.6490844,0.1930111,0.0001475762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4292279,0.00490188,0.1568122,0.03870726,0.000997382,0.0003087724,0.0006354684,0.0004942053,0.3679148],"genre_scores_gemma":[0.9809178,0.0007746628,0.008375145,0.000565432,0.0001350909,0.00006479668,0.0000600021,0.00001727446,0.009089823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007373562,"threshold_uncertainty_score":0.02466702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880627520525702,"score_gpt":0.2370054116318299,"score_spread":0.1781991364265729,"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."}}