{"id":"W2726223494","doi":"10.1016/j.biombioe.2017.06.005","title":"Deforestation and biomass fuel dynamics in Uganda","year":2017,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Social Science Research Council; University of North Carolina; United States Agency for International Development; National Science Foundation","keywords":"Deforestation (computer science); Biomass (ecology); Environmental science; Agriculture; Population; Agroforestry; Environmental protection; Geography; Agricultural economics; 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":[0.0003958439,0.0002481534,0.0002695968,0.001103857,0.001147965,0.001154149,0.0003009062,0.0004527041,0.003197226],"category_scores_gemma":[0.001438322,0.0004154631,0.0002559388,0.001668416,0.0007465421,0.001114905,0.002019507,0.0006099261,0.0002529904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841356,"about_ca_system_score_gemma":0.001103285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0428941,"about_ca_topic_score_gemma":0.07321778,"domain_scores_codex":[0.9997194,0.00007710827,0.00001848977,0.00001510813,0.00001569563,0.0001541776],"domain_scores_gemma":[0.9995516,0.000110683,0.0001885886,0.0000130474,0.00005393142,0.00008209784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004689976,0.000162038,0.9576567,0.0002037904,0.0001011074,0.003064585,0.01124569,0.001904033,0.001361143,0.003384143,0.0007726592,0.01967507],"study_design_scores_gemma":[0.00002012828,0.0001506555,0.9703248,0.0001602689,0.0000601837,0.001055517,0.0221683,0.001028357,0.0004694327,0.000794226,0.003746972,0.00002119455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986349,0.0004148981,0.00001609739,0.0001168419,0.000002936858,0.000002118723,0.00007678134,9.001492e-7,0.0007345554],"genre_scores_gemma":[0.9988581,0.0005128018,0.00003486258,0.000019651,0.000002964343,0.000005126293,0.00005319683,0.000001029014,0.0005121964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0428941,"threshold_uncertainty_score":0.08528882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052593363555934,"score_gpt":0.221838739811205,"score_spread":0.2113128061756457,"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."}}