{"id":"W6981288324","doi":"","title":"Does composition matter? Wage inequality and the demographic and educational structure of the labor force in Gemany","year":2014,"lang":"en","type":"other","venue":"Econstor (Econstor)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Educational attainment; Wage inequality; Quarter (Canadian coin); German; Inequality; Panel data; Efficiency wage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005608136,0.00008994784,0.0001925001,0.0009789161,0.0007804928,0.00115333,0.0001972482,0.0002191159,0.004667827],"category_scores_gemma":[0.002242766,0.00005961772,0.00007225331,0.001524926,0.001204444,0.0009165704,0.001131648,0.0003767094,0.0003433381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000667008,"about_ca_system_score_gemma":0.0002810468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055794,"about_ca_topic_score_gemma":0.02119322,"domain_scores_codex":[0.9997316,0.00006987189,0.00001063572,0.00004140487,0.00004298586,0.0001035098],"domain_scores_gemma":[0.9993073,0.0002151971,0.0002579621,0.00005217275,0.00004327229,0.0001241554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003730064,0.0001875335,0.8629944,0.00007581331,0.00004931724,0.0004050799,0.00917416,0.0006686792,0.0008302695,0.05554614,0.003151364,0.06654421],"study_design_scores_gemma":[0.00001456482,0.00004241259,0.9715046,0.00006059746,0.00001176735,0.00005508849,0.005861187,0.0006246512,0.0002166313,0.01716757,0.004434151,0.000006906084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989272,0.0005164121,0.0001963913,0.00116918,0.000008924197,0.000004490223,0.0001642509,0.000002819568,0.008665572],"genre_scores_gemma":[0.9987464,0.0001757585,0.00003461193,0.00006014121,0.00001554938,0.000001692951,0.0001026503,0.000001339077,0.0008617521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055794,"threshold_uncertainty_score":0.02099299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005191960881716531,"score_gpt":0.2317867854248914,"score_spread":0.2265948245431748,"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."}}