{"id":"W2149523024","doi":"10.3386/w14122","title":"Wages, Unemployment and Inequality with Heterogeneous Firms and Workers","year":2008,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research; London School of Economics and Political Science; Harvard University; National Science Foundation","keywords":"Unemployment; Inequality; Labour economics; Economics; Business; Economic growth; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006140725,0.0003058456,0.0009236808,0.0006738076,0.0001820226,0.0001086202,0.0003001986,0.0003862215,0.0001811411],"category_scores_gemma":[0.0005441168,0.0003080884,0.0001051058,0.0001884752,0.0005237315,0.0001484557,0.0002779726,0.0006120183,0.00002532564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125449,"about_ca_system_score_gemma":0.0008829174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006740746,"about_ca_topic_score_gemma":0.000592903,"domain_scores_codex":[0.9968939,0.0001010858,0.001204487,0.000925902,0.000419401,0.0004552696],"domain_scores_gemma":[0.9974819,0.0006025677,0.0006980799,0.0004306309,0.0005965849,0.0001901774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003029358,0.0002582683,0.4468076,0.0008123239,0.000982557,0.00004792364,0.0002683178,0.0005427299,0.000002662613,0.538997,0.00847079,0.002506903],"study_design_scores_gemma":[0.002098166,0.0006081157,0.06201022,0.0002874776,0.000023972,0.0002266031,0.00006722843,0.002167493,0.00002135171,0.8430754,0.08820327,0.001210696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7324948,0.01159265,0.00003324794,0.001258836,0.0004264322,0.001051578,0.002067322,0.00002973291,0.2510453],"genre_scores_gemma":[0.98147,0.0144054,0.0002677681,0.00003211249,0.0002612928,0.00007711315,0.000327603,0.00005839457,0.003100309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3847974,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2905327659800748,"score_gpt":0.4304140184831584,"score_spread":0.1398812525030836,"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."}}