{"id":"W2009305066","doi":"10.1515/1935-1690.2328","title":"Sector-Specific Capital, Labor Market Distortions and Cross-Country Income Differences: A Two-Sector General Equilibrium Approach","year":2012,"lang":"en","type":"article","venue":"The B E Journal of Macroeconomics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Physical capital; Human capital; General equilibrium theory; Labour economics; Agriculture; Capital (architecture); Productivity; Sample (material); Capital deepening; Capital intensity; Capital formation; Monetary economics; Macroeconomics; Financial capital; Market 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001661217,0.0002856335,0.0006840917,0.0002216402,0.0002057862,0.0002234991,0.0005870165,0.0001317046,0.0004345741],"category_scores_gemma":[0.00005251922,0.0002465798,0.0001844353,0.000117022,0.0003623395,0.0009626378,0.0001706514,0.0004358911,0.000104013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296511,"about_ca_system_score_gemma":0.00003928981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001221264,"about_ca_topic_score_gemma":0.00001430141,"domain_scores_codex":[0.9977863,0.00005371293,0.001281606,0.0002397442,0.00004107012,0.0005975469],"domain_scores_gemma":[0.997968,0.000174018,0.001120748,0.0004112887,0.00003684286,0.0002890742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002170422,0.0001869877,0.8854824,0.00006382433,0.0002325349,0.000001343262,0.001939735,0.0001808534,0.00007430455,0.1080343,0.003463862,0.0001227944],"study_design_scores_gemma":[0.001844733,0.000127102,0.9285536,0.00001706457,0.00003847378,0.00032374,0.0003077899,0.002719195,0.00005947089,0.04805966,0.01736287,0.0005862258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761671,0.006226022,0.0002740012,0.0003291833,0.001291609,0.0001552483,0.0004238774,0.00001526037,0.01511763],"genre_scores_gemma":[0.9958158,0.0005786275,0.0005154109,0.0003703002,0.002003123,0.000008068997,0.000007230028,0.00004858603,0.0006528379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05997463,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257352424637876,"score_gpt":0.2333724921938273,"score_spread":0.2007989679474485,"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."}}