{"id":"W3122798699","doi":"10.1596/1813-9450-5603","title":"Would freeing up world trade reduce poverty and inequality? The vexed role of agricultural distortions","year":2011,"lang":"en","type":"book","venue":"World Bank eBooks","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Poverty; Inequality; Agriculture; Economics; Political science; Development economics; History; Economic growth; Archaeology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003377829,0.0004332688,0.0009020222,0.0003230401,0.0002110599,0.00008915019,0.0005427592,0.0003243839,0.000266399],"category_scores_gemma":[0.00002460281,0.0003743899,0.0003566941,0.0001072926,0.0002233765,0.0001269639,0.0001598596,0.0008962131,0.0001008689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694667,"about_ca_system_score_gemma":0.00006253187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003667671,"about_ca_topic_score_gemma":0.001740579,"domain_scores_codex":[0.9976828,0.00002293155,0.001188285,0.0006198148,0.00005634524,0.0004298361],"domain_scores_gemma":[0.9981105,0.00008484461,0.0009874561,0.0006636876,0.00001993513,0.000133529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000277413,0.00004089338,0.001572041,0.00009100111,0.0002751398,0.000001621334,0.001284539,0.000005801532,0.00004045009,0.9361362,0.05859187,0.001932641],"study_design_scores_gemma":[0.0003690684,0.00003247445,0.02224774,0.0001079013,0.00007172572,0.000006219297,0.00008798733,0.00001399048,0.0001337179,0.112958,0.8633991,0.0005719758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005865627,0.004658776,0.000008042825,0.0005700954,0.0009010662,0.0004540786,0.0007817132,0.00005321046,0.9867074],"genre_scores_gemma":[0.3417768,0.0001191073,0.00009327759,0.0007287669,0.0004025443,0.00004470102,0.000110246,0.00006013121,0.6566644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8231782,"threshold_uncertainty_score":0.9998708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818177702288926,"score_gpt":0.2051404212086538,"score_spread":0.1469586441857645,"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."}}