{"id":"W2092530404","doi":"10.1016/j.jinteco.2007.06.003","title":"Trade, technology, and the rise of the service sector: The effects on US wage inequality","year":2007,"lang":"en","type":"article","venue":"Journal of International Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Wage inequality; Economics; Wage; Labour economics; Technological change; Tertiary sector of the economy; Inequality; Capital (architecture); Service (business); International economics; Macroeconomics; Economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089273,0.0001242038,0.0003418363,0.0001936258,0.00009150992,0.00005618944,0.0008194241,0.0001034245,0.00003060071],"category_scores_gemma":[0.000285284,0.00007505078,0.0002007625,0.0001464286,0.0001966535,0.000166172,0.0001065874,0.0003630055,0.0000132742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539864,"about_ca_system_score_gemma":0.00002485943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007248922,"about_ca_topic_score_gemma":0.0001212868,"domain_scores_codex":[0.998673,0.00002543825,0.0009733437,0.0001393055,0.0000356949,0.0001532624],"domain_scores_gemma":[0.99783,0.000482662,0.001325844,0.0002747587,0.0000463377,0.00004041965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003059757,0.00008121279,0.1399893,0.00002121126,0.0003658638,0.000002146029,0.0004313195,0.0007941261,0.00002575672,0.8556848,0.0005621686,0.001736133],"study_design_scores_gemma":[0.006405791,0.0002609872,0.5753471,0.0001090879,0.00005991707,0.0002370804,0.0007713747,0.005852966,0.002338427,0.2360633,0.1721871,0.0003668193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679542,0.001065202,0.0000680642,0.02256734,0.001718295,0.0001465209,0.00006194268,0.000003925288,0.00641455],"genre_scores_gemma":[0.9965869,0.0008928207,0.0001116866,0.002041155,0.0003081287,0.000002036371,6.229777e-7,0.00001110195,0.0000455026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6196215,"threshold_uncertainty_score":0.3060482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403320865969334,"score_gpt":0.2180972099777607,"score_spread":0.1940640013180673,"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."}}