{"id":"W116737175","doi":"","title":"IZA Summer School 2009 - PRELIMINARY DRAFT Sources of Wage Growth and Returns to Tenure in Italy","year":2009,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seniority; Endogeneity; Wage; Economics; Wage growth; Labour economics; Demographic economics; Econometrics; Social security; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001960657,0.0004719493,0.0008832294,0.004595473,0.0004596099,0.00277447,0.0006623836,0.0006748204,0.03102946],"category_scores_gemma":[0.007270111,0.0003641666,0.0006523575,0.007911456,0.0002556923,0.0009373208,0.001190051,0.001229158,0.01180927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125587,"about_ca_system_score_gemma":0.001109368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0427803,"about_ca_topic_score_gemma":0.03137306,"domain_scores_codex":[0.99943,0.00009659739,0.00004028299,0.0001073281,0.000208365,0.0001174491],"domain_scores_gemma":[0.9972209,0.0006784211,0.0008289778,0.0005021591,0.0005440169,0.0002255731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005476368,0.0001644837,0.2503553,0.0007423881,0.0002889978,0.0002956451,0.001457816,0.004112921,0.0004614939,0.03575485,0.5461841,0.1596345],"study_design_scores_gemma":[0.000100494,0.00008150016,0.8218452,0.0003226915,0.00009820845,0.00009817005,0.0005280282,0.002545269,0.0002163061,0.006531445,0.1675853,0.00004729515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2541718,0.02275091,0.009886196,0.0352845,0.001126718,0.000304923,0.4244356,0.002378442,0.2496609],"genre_scores_gemma":[0.6022487,0.007747958,0.00486837,0.0008581865,0.001715502,0.000376019,0.3070778,0.0007870116,0.0743205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0427803,"threshold_uncertainty_score":0.1038039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549921143905823,"score_gpt":0.2230908198140067,"score_spread":0.2075916083749484,"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."}}