{"id":"W2899804773","doi":"","title":"People Prosper From Free Trade: NAFTA and Texas","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Free trade agreement; International trade; Free trade; Trade barrier; International free trade agreement; Economics; Economic integration; Rules of origin; International economics","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":[0.001519981,0.00014763,0.0002657608,0.001153322,0.00663111,0.004591152,0.0004883159,0.001471815,0.007667808],"category_scores_gemma":[0.001793721,0.0001370276,0.000302894,0.002098316,0.002527538,0.003379085,0.002432584,0.002966618,0.0004038893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696936,"about_ca_system_score_gemma":0.004262442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1049612,"about_ca_topic_score_gemma":0.223628,"domain_scores_codex":[0.9994221,0.0001183304,0.00002254349,0.00006201765,0.00009044114,0.0002847028],"domain_scores_gemma":[0.998928,0.0002222508,0.0002637659,0.00003897878,0.0001390672,0.0004078498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001189088,0.0006609213,0.356578,0.0005451655,0.0001682535,0.002737594,0.1699946,0.0002364995,0.0006566889,0.1834621,0.169097,0.1146741],"study_design_scores_gemma":[0.0001128217,0.0002396848,0.4942368,0.0009800415,0.000110918,0.0005053419,0.2256542,0.0001714389,0.0002718912,0.01023241,0.2674145,0.0000699738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7989164,0.009592477,0.00008775089,0.09664254,0.0007816022,0.00002941452,0.0009332147,0.000007928475,0.09300865],"genre_scores_gemma":[0.9559763,0.007619007,0.0001180279,0.01455773,0.0004388194,0.00004759001,0.0005227817,0.00001260601,0.02070707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8950388,"threshold_uncertainty_score":0.2087004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009898333319701445,"score_gpt":0.2568804718732536,"score_spread":0.2469821385535522,"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."}}