{"id":"W1999814654","doi":"10.1016/j.jpolmod.2006.07.006","title":"Trade reform and poverty—Lessons from the Philippines: A CGE-microsimulation analysis","year":2007,"lang":"en","type":"article","venue":"Journal of Policy Modeling","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"International Development Research Centre","keywords":"Computable general equilibrium; Microsimulation; Economics; Tariff; Poverty; Revenue; International economics; Macroeconomics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000848748,0.0001107397,0.000379329,0.0003610296,0.0001209563,0.00008928817,0.0001931174,0.0000848327,0.00001924405],"category_scores_gemma":[0.00009247696,0.00009123834,0.0002432888,0.0003592912,0.00002752199,0.0003093128,0.00002851566,0.0001848841,0.000007552687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955895,"about_ca_system_score_gemma":0.00002818403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002006921,"about_ca_topic_score_gemma":0.0002123634,"domain_scores_codex":[0.998674,0.000006674523,0.0009044838,0.0001505247,0.0000366497,0.0002276928],"domain_scores_gemma":[0.999098,0.00007374395,0.0005321802,0.0001731587,0.00002364166,0.0000992951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002532014,0.0002022498,0.09360225,0.0000232856,0.002792724,0.00001448446,0.009815305,0.5888421,0.00044717,0.2962725,0.0004663385,0.007268395],"study_design_scores_gemma":[0.001119552,0.00006040597,0.0560033,0.00002835744,0.000221925,0.0000267784,0.001419882,0.832112,0.00004913292,0.1033469,0.005310696,0.0003010663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915477,0.00204755,0.069512,0.01093634,0.0001362054,0.00004683612,0.00009531967,0.00000629056,0.001742392],"genre_scores_gemma":[0.9961283,0.0007089218,0.0008629517,0.001599604,0.0006681996,2.622535e-7,0.0000050842,0.00001091486,0.00001581185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24327,"threshold_uncertainty_score":0.3720592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09486826878416353,"score_gpt":0.2904400646951917,"score_spread":0.1955717959110282,"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."}}