{"id":"W1534140155","doi":"10.3386/w14935","title":"Trade Reforms and Market Selection: Evidence from Manufacturing Plants in Colombia","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Tinker Foundation; University of Houston; National Science Foundation","keywords":"Selection (genetic algorithm); Business; Industrial organization; International trade; International economics; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894419,0.0001860641,0.0003107295,0.0008999338,0.0005496075,0.001148378,0.0003531569,0.0003942139,0.004218267],"category_scores_gemma":[0.002304741,0.0001521049,0.0002401931,0.001622904,0.0004934022,0.0004933446,0.0006295575,0.0004651162,0.0003289965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594355,"about_ca_system_score_gemma":0.0004425263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1171726,"about_ca_topic_score_gemma":0.1531594,"domain_scores_codex":[0.9997595,0.00004882727,0.00001629695,0.00004748528,0.00004942088,0.00007838322],"domain_scores_gemma":[0.9965797,0.000952627,0.001698152,0.0001480914,0.0002969259,0.0003245753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004271367,0.0001890933,0.9784338,0.0001500029,0.00009663449,0.0004140012,0.001358295,0.001647467,0.00123854,0.000731936,0.001558084,0.01375505],"study_design_scores_gemma":[0.00002002467,0.00003794171,0.9967362,0.00001150889,0.00001720184,0.00004496083,0.001041629,0.0007520828,0.0001665186,0.00009095634,0.001072853,0.000008119197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965035,0.0003944108,0.0001019857,0.0001404065,0.000002034715,0.000008800088,0.0006656448,0.000007655242,0.002175528],"genre_scores_gemma":[0.9986964,0.00019802,0.00006059987,0.00001927737,0.000004921763,0.000003453227,0.0006593976,0.000002445827,0.0003555008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171726,"threshold_uncertainty_score":0.2329811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3980904012613609,"score_gpt":0.4257171159433987,"score_spread":0.02762671468203787,"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."}}