{"id":"W6944919136","doi":"10.22004/ag.econ.292997","title":"Effects of Poverty on Deforestation: Distinguishing Behavior from Location","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tinker Foundation; Canada Excellence Research Chairs, Government of Canada; Yale University; National Science Foundation","keywords":"Poverty; Deforestation (computer science); Clearance; Poverty reduction; Consumption (sociology); Empirical research; Poor people; Control (management)","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":[0.0009723786,0.000234521,0.0003168049,0.001387447,0.0003380239,0.0007014327,0.0003517832,0.0002684112,0.001378164],"category_scores_gemma":[0.004881089,0.0001686569,0.0004526027,0.002883999,0.0009912882,0.00075024,0.0007929021,0.0004429042,0.0002217988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006545793,"about_ca_system_score_gemma":0.00024716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182465,"about_ca_topic_score_gemma":0.02758391,"domain_scores_codex":[0.999386,0.0002890776,0.0000479757,0.00007355142,0.0001329929,0.0000703879],"domain_scores_gemma":[0.9944053,0.002386925,0.002375414,0.000302151,0.0003563211,0.000173842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002802706,0.00004470893,0.9549293,0.0001489357,0.0001752351,0.00008520916,0.000737364,0.001744852,0.0002936212,0.002046747,0.0005097622,0.03925623],"study_design_scores_gemma":[8.729852e-7,0.00002575497,0.995116,0.00006362755,0.00003122241,0.00006557616,0.0003981936,0.0006003125,0.0001580876,0.001227587,0.002304704,0.000008102013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95969,0.02136025,0.005363417,0.001485154,0.00002167078,0.00002390981,0.001004979,0.00003189016,0.01101884],"genre_scores_gemma":[0.9891762,0.008667985,0.001221712,0.00007941941,0.00003453286,0.00001679697,0.0002306303,0.000008547043,0.0005641869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182465,"threshold_uncertainty_score":0.03628057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336327843185118,"score_gpt":0.1995932741762402,"score_spread":0.1862299957443891,"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."}}