{"id":"W2166349539","doi":"10.1093/jae/ejm001","title":"Poverty and Inequality Impact Analysis Regarding Cotton Subsidies: A Mali-based CGE Micro-accounting Approach","year":2007,"lang":"en","type":"article","venue":"Journal of African Economies","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computable general equilibrium; Poverty; Subsidy; Inequality; Economics; Administration (probate law); Political science; Economic growth; Macroeconomics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008658529,0.0002005268,0.0007733437,0.0005341618,0.0004982523,0.0002748976,0.0003098894,0.0001315602,0.0001147254],"category_scores_gemma":[0.0006804887,0.0001637308,0.0005128628,0.0006372552,0.0003040263,0.0007881587,0.0000463318,0.0002722627,0.000002243263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006689404,"about_ca_system_score_gemma":0.0003120037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346975,"about_ca_topic_score_gemma":0.002075003,"domain_scores_codex":[0.9976341,0.0003015891,0.0009922881,0.0002297414,0.0003189531,0.0005233908],"domain_scores_gemma":[0.9974021,0.000618086,0.001232261,0.0002002215,0.0002935008,0.000253828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003415542,0.0001426796,0.9775174,0.00005032039,0.0008214095,0.0000103498,0.01703904,0.0002910562,0.0002792929,0.001305096,0.001178604,0.001023152],"study_design_scores_gemma":[0.002308973,0.0004455544,0.842318,0.00007383733,0.00116723,0.00002400778,0.1225398,0.001088609,0.001289794,0.001764023,0.02594344,0.00103671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752083,0.0004530525,0.002665495,0.00051731,0.0001820865,0.00009775299,0.00002675756,0.00001972572,0.02082953],"genre_scores_gemma":[0.9968722,0.0001272437,0.001932684,0.0004751683,0.0004767442,9.026471e-7,0.000003183364,0.00001213444,0.00009971935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1351994,"threshold_uncertainty_score":0.667675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302379598619857,"score_gpt":0.3090130584219004,"score_spread":0.2787750985599147,"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."}}