{"id":"W2616455531","doi":"10.1093/ajae/aax027","title":"Spatial Patterns of Market Participation and Resource Extraction: Fuelwood Collection in Northern Uganda","year":2017,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"International Institute for Applied Systems Analysis; National Science Foundation","keywords":"Resource (disambiguation); Natural resource; Stock (firearms); Natural resource economics; Business; Economics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000820561,0.0001417336,0.0002570706,0.001034406,0.0006609629,0.0008739158,0.0004647683,0.0003252904,0.002586692],"category_scores_gemma":[0.005788122,0.0002316577,0.0001518722,0.002289206,0.001262664,0.0008927185,0.001612402,0.0002716828,0.0002032044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006993718,"about_ca_system_score_gemma":0.0003212172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01491645,"about_ca_topic_score_gemma":0.02661684,"domain_scores_codex":[0.9991634,0.0004096006,0.00005502606,0.0001444412,0.00007275024,0.0001547661],"domain_scores_gemma":[0.9961849,0.001382102,0.001742416,0.0002136682,0.0003026917,0.0001742582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001451538,0.00008101274,0.986078,0.00003952024,0.00003714729,0.0002314391,0.00527505,0.0007080855,0.0004125531,0.0004892371,0.0001464808,0.006356387],"study_design_scores_gemma":[0.000003400432,0.00004571954,0.988167,0.00001645921,0.000009152755,0.0001231285,0.009880429,0.00104499,0.0001376811,0.0002829047,0.00028112,0.000008083814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995889,0.00002694157,0.00007034696,0.00001295713,2.389268e-7,0.000003460621,0.00005093733,5.968452e-7,0.0002456043],"genre_scores_gemma":[0.9997801,0.00001602712,0.00007235392,0.000001383385,4.000918e-7,0.000005795762,0.00003134911,3.949621e-7,0.00009224874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01491645,"threshold_uncertainty_score":0.02965927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785723590000881,"score_gpt":0.2005644920193339,"score_spread":0.192707256119325,"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."}}