{"id":"W2100050548","doi":"10.5539/jsd.v4n3p152","title":"The Carbon Footprint of an East African Forestry Enterprise","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Council for Air and Stream Improvement; World Bank Group","keywords":"Carbon footprint; Renewable energy; Afforestation; Greenhouse gas; Coal; Environmental science; Natural resource economics; Fossil fuel; Electricity; Forestry; Business; Agricultural economics; Environmental protection; Agroforestry; Geography; Economics; Waste management; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284175,0.0001579269,0.0002111545,0.00005889863,0.0001949243,0.00002536589,0.0005304952,0.00005420055,0.0001386746],"category_scores_gemma":[0.0001013151,0.00010449,0.00008486366,0.0001835876,0.0003160992,0.0001929181,0.0003531551,0.0001993666,0.000002243813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032405,"about_ca_system_score_gemma":0.000153928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002896953,"about_ca_topic_score_gemma":0.0000394296,"domain_scores_codex":[0.9981295,0.00009196613,0.0006382142,0.000144647,0.0005184934,0.0004771917],"domain_scores_gemma":[0.9989423,0.00002864002,0.0004445241,0.0002828059,0.00005580119,0.0002459337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001452251,0.002089221,0.8532243,0.0001335336,0.0001996534,0.001067332,0.07026345,0.000556751,0.002918826,0.0006584576,0.0000906616,0.06734559],"study_design_scores_gemma":[0.0004426836,0.000475277,0.8923926,0.00001423703,0.00002068949,0.00006245812,0.08215076,0.00003934593,0.0131394,0.002551831,0.008528935,0.0001817202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890383,0.00005390966,0.00006997877,0.00007131598,0.00006738327,0.000214857,2.331188e-7,0.000005527985,0.01047847],"genre_scores_gemma":[0.9964473,0.00001670335,0.002353248,0.00001652709,0.00001727389,0.000008088261,2.970639e-7,0.00001321259,0.001127366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06716387,"threshold_uncertainty_score":0.4260978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041176194862428,"score_gpt":0.2065129261102268,"score_spread":0.1961011641616025,"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."}}