{"id":"W1492694029","doi":"10.1111/caje.12167","title":"Skill‐biased heterogeneous firms, trade liberalization and the skill premium","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Competition (biology); Globalization; Productivity; Wage; Free trade; Labour economics; Liberalization; Wage inequality; Endowment; Inequality; Production (economics); Total factor productivity; International economics; International trade; Microeconomics; Market economy; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005524165,0.0001978115,0.0003344877,0.0009250288,0.0004113058,0.001590154,0.000298499,0.0008248617,0.007952679],"category_scores_gemma":[0.003136371,0.0001437149,0.0004044786,0.0007548786,0.001731427,0.001065058,0.0009775911,0.0006719163,0.0002239102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189844,"about_ca_system_score_gemma":0.0006351695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702815,"about_ca_topic_score_gemma":0.013815,"domain_scores_codex":[0.999823,0.00003484914,0.000008102438,0.00002842465,0.00002383818,0.00008173097],"domain_scores_gemma":[0.9972193,0.0009526632,0.001193077,0.0001465988,0.00008509948,0.0004032653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002170133,0.0003708513,0.485918,0.0001192966,0.0002053862,0.001466541,0.001007504,0.0607469,0.003054269,0.4138525,0.003353052,0.02968875],"study_design_scores_gemma":[0.0001781229,0.0001730495,0.4242198,0.0001423568,0.000152498,0.0004227154,0.001451281,0.1171939,0.0008431244,0.450749,0.0044155,0.00005861051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785572,0.0006696567,0.005818114,0.001968308,0.00001600093,0.00002492508,0.000180392,0.00003181554,0.01273357],"genre_scores_gemma":[0.9991556,0.0001198605,0.00008377398,0.00004634617,0.00001361536,0.000002084447,0.00001725251,0.000001052128,0.0005604287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01702815,"threshold_uncertainty_score":0.03385806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2095242261599421,"score_gpt":0.1743263811108117,"score_spread":0.0351978450491304,"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."}}