{"id":"W2148397288","doi":"10.5751/es-01796-110220","title":"Balancing Development and Conservation? An Assessment of Livelihood and Environmental Outcomes of Nontimber Forest Product Trade in Asia, Africa, and Latin America","year":2006,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":211,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for International Development; European Commission","keywords":"Livelihood; Latin Americans; Forest product; Geography; Product (mathematics); Nature Conservation; Agroforestry; Environmental resource management; Natural resource economics; Business; Forest management; Ecology; Political science; Economics; Forestry; Agriculture; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004536103,0.0004433433,0.0002939723,0.003440652,0.0009299935,0.003573153,0.0004167096,0.0006219984,0.002183755],"category_scores_gemma":[0.006579104,0.0001932379,0.0004778286,0.005040801,0.002245843,0.004637336,0.002972297,0.0006436997,0.0002038775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060847,"about_ca_system_score_gemma":0.001421911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00523399,"about_ca_topic_score_gemma":0.01183383,"domain_scores_codex":[0.998176,0.0008642088,0.00008982523,0.00007915552,0.0005233145,0.0002674846],"domain_scores_gemma":[0.9956155,0.001302137,0.001687018,0.0001344413,0.0006409312,0.0006200683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004841573,0.0002058081,0.8883714,0.0001076852,0.0001909122,0.0004609583,0.004485072,0.002858334,0.0006568301,0.008729721,0.001140527,0.09230845],"study_design_scores_gemma":[0.00003456295,0.0005048285,0.9423703,0.0002372826,0.0001304183,0.0004065675,0.02911564,0.003758378,0.000829037,0.01576803,0.006797895,0.00004717617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847379,0.00147592,0.0004139954,0.00174541,0.000008913786,0.00002415207,0.0002077353,0.000003259929,0.01138274],"genre_scores_gemma":[0.9987727,0.0005994276,0.0001613096,0.00005587713,0.000007913591,0.000009989159,0.00009665555,0.000002126577,0.0002939158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00523399,"threshold_uncertainty_score":0.0239895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039283117273332,"score_gpt":0.2443716386592207,"score_spread":0.2339788074864874,"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."}}