{"id":"W2227762800","doi":"","title":"Efectos Regionales Del Libre Comercio: El Caso Del Noreste De México","year":2015,"lang":"es","type":"article","venue":"scholarworks - UTEP (The University of Texas at El Paso)","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Art","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":[0.0005697824,0.0002407689,0.0004181072,0.001609453,0.001019319,0.002348632,0.0004052182,0.0005127584,0.003482304],"category_scores_gemma":[0.001898042,0.0001559294,0.0004359165,0.002320099,0.0006554992,0.0009387509,0.001357038,0.0006360409,0.0001835132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968262,"about_ca_system_score_gemma":0.001576375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3251242,"about_ca_topic_score_gemma":0.3660667,"domain_scores_codex":[0.9996867,0.00004289801,0.0000110129,0.00006484551,0.00004774896,0.0001467868],"domain_scores_gemma":[0.9992285,0.0002288421,0.0002721173,0.00004050065,0.0001665251,0.00006359724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009204022,0.0001470759,0.8921285,0.0004690892,0.0002817485,0.002172469,0.004022509,0.003426447,0.001318721,0.02849618,0.01033639,0.05628048],"study_design_scores_gemma":[0.0001063643,0.00006590361,0.9308625,0.0004147732,0.0003633067,0.000483492,0.006750833,0.002404018,0.0004894363,0.001698863,0.05633015,0.00003035262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513318,0.005657491,0.0003444649,0.003772414,0.00006244693,0.0000193312,0.002957838,0.00006221184,0.03579184],"genre_scores_gemma":[0.9909238,0.003664705,0.000265233,0.000100688,0.00008711782,0.00001931191,0.001273741,0.00001475779,0.003650667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251242,"threshold_uncertainty_score":0.6464635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383042235594038,"score_gpt":0.2203691234543125,"score_spread":0.1965387010983722,"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."}}