{"id":"W6992737464","doi":"","title":"Measuring the impact of international migration and remittances for Latin America","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Computable general equilibrium; Emigration; Tariff; General equilibrium theory; Developing country; Baseline (sea); Rest (music); Virtuous circle and vicious circle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002030109,0.0007205001,0.0004184218,0.001129894,0.0002662184,0.001214172,0.0006936309,0.0006113141,0.002093281],"category_scores_gemma":[0.004982246,0.0002031405,0.0008650487,0.002809147,0.0004467804,0.001677164,0.001223198,0.0006268396,0.0002290243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00246639,"about_ca_system_score_gemma":0.0009918965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04764726,"about_ca_topic_score_gemma":0.02491404,"domain_scores_codex":[0.9992419,0.0003929322,0.00003320696,0.0001028827,0.000111799,0.000117138],"domain_scores_gemma":[0.9987447,0.0005883398,0.0002464859,0.0001568566,0.0001947461,0.0000687611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006278609,0.0003080412,0.298605,0.0004041929,0.0005738098,0.0006833071,0.001057604,0.5964244,0.004654848,0.04768667,0.003381038,0.04559321],"study_design_scores_gemma":[0.0001102001,0.001005646,0.3327421,0.0001531008,0.0003695262,0.0004143944,0.00527242,0.5951336,0.007969981,0.03486855,0.021829,0.0001315419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662008,0.0006042799,0.0116789,0.0009003215,0.00003594686,0.00005834545,0.002568455,0.0001886576,0.01776425],"genre_scores_gemma":[0.9919198,0.0003533024,0.00493921,0.00005392484,0.000008123681,0.00004139572,0.001353225,0.0000384736,0.001292541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04764726,"threshold_uncertainty_score":0.09473985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05701733218769188,"score_gpt":0.3139595095524594,"score_spread":0.2569421773647675,"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."}}