{"id":"W3122714866","doi":"","title":"Composition matters! Wage inequality and the demographic and educational structure of the labor force in Germany","year":2015,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Wage; Educational attainment; Inequality; Wage inequality; Labour economics; Distribution (mathematics); Demographic economics; Quarter (Canadian coin); Economic inequality; Income distribution; Economic growth; Geography","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":[0.0005997693,0.0001587231,0.0002122202,0.001392577,0.0005401171,0.0009646729,0.0001814024,0.0002444338,0.002556106],"category_scores_gemma":[0.001410412,0.000125091,0.000179363,0.002387733,0.0007237914,0.0007869183,0.0008841989,0.0003060577,0.0003410477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199629,"about_ca_system_score_gemma":0.0006492161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02446821,"about_ca_topic_score_gemma":0.03325104,"domain_scores_codex":[0.9996007,0.00006648311,0.00002976625,0.00006781526,0.00007086316,0.000164353],"domain_scores_gemma":[0.9995853,0.00008510515,0.0001875315,0.00004012189,0.00003562119,0.00006630764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004457128,0.0001702553,0.8265801,0.0002302184,0.0001793415,0.0005523813,0.004892337,0.005642847,0.00256353,0.06114999,0.004248564,0.09334468],"study_design_scores_gemma":[0.000008635445,0.00003695215,0.9909662,0.00004618028,0.00003084198,0.00004787098,0.001233152,0.0007384457,0.0003340551,0.003196337,0.003351784,0.000009504626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928923,0.0009613936,0.0003434416,0.0009334695,0.00001363705,0.00000591929,0.0006192366,0.000006337058,0.004224333],"genre_scores_gemma":[0.9986344,0.0004433372,0.00006249126,0.00005649019,0.0000148192,0.000002986342,0.000328629,0.000001526364,0.0004555283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02446821,"threshold_uncertainty_score":0.04865158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591674550799055,"score_gpt":0.2880896004830941,"score_spread":0.2721728549751035,"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."}}