{"id":"W2008379776","doi":"10.1016/j.ecolecon.2005.12.015","title":"Global potential for carbon sequestration: Geographical distribution, country risk and policy implications","year":2006,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Reforestation; Afforestation; Carbon sequestration; Natural resource economics; Carbon offset; Developing country; Tree planting; Global warming; Climate change; Economics; Geography; Business; Forestry; Economic growth; Ecology","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":[0.0001214104,0.00009761037,0.0000994704,0.00001247767,0.0002021124,0.00006305579,0.0001109834,0.0001043378,0.0001926488],"category_scores_gemma":[0.00003251883,0.00009240388,0.0000456495,0.0001186208,0.0002433195,0.00008583962,0.00009764053,0.00004628746,0.00003324712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154641,"about_ca_system_score_gemma":0.0000149382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188368,"about_ca_topic_score_gemma":0.001325236,"domain_scores_codex":[0.9992797,0.00001787038,0.0001905897,0.0002478327,0.00002810746,0.0002359253],"domain_scores_gemma":[0.9996929,0.00003235277,0.00007935212,0.0001199727,0.000005017968,0.00007046042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001723478,0.00009795924,0.6737345,0.000002562117,0.000008961545,4.15746e-7,0.000002373127,0.01000268,0.000003940518,0.3061627,0.008749804,0.001216876],"study_design_scores_gemma":[0.0002396914,0.00006510298,0.8584485,2.630263e-7,0.00001706118,0.000003359213,0.000001391243,0.008576916,9.80645e-7,0.09655774,0.03598601,0.0001029836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806928,0.000008423414,0.0005023951,0.002131011,0.00005761597,0.0002831681,0.0004629046,0.00004252085,0.01581917],"genre_scores_gemma":[0.9985197,0.00007208198,0.0003403019,0.0002401546,0.0002812274,0.00005495159,0.0002922064,0.000003814513,0.0001956318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2096049,"threshold_uncertainty_score":0.3768121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004836107211118263,"score_gpt":0.2177367852956951,"score_spread":0.2129006780845769,"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."}}