{"id":"W13956410","doi":"","title":"Sources of wage growth and returns to tenure in Italy","year":2009,"lang":"en","type":"article","venue":"˜La œsemana médica","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Seniority; Endogeneity; Wage; Economics; Wage growth; Labour economics; Social security; Econometrics; Demographic economics; 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":[0.001023427,0.0001864025,0.000507909,0.003264517,0.0003523098,0.001206198,0.0005693639,0.0005090098,0.009596918],"category_scores_gemma":[0.005032571,0.0001973052,0.0004741907,0.005072122,0.000520819,0.0006602291,0.001237701,0.0009786978,0.001659023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00097743,"about_ca_system_score_gemma":0.0005969697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468617,"about_ca_topic_score_gemma":0.01551222,"domain_scores_codex":[0.9995436,0.00008195418,0.00002483248,0.00007417683,0.00009801459,0.0001773436],"domain_scores_gemma":[0.9963257,0.001184181,0.001480223,0.0003149355,0.000253914,0.0004410317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009994794,0.0001062766,0.897607,0.0002122712,0.0001776909,0.0004386131,0.001295982,0.003067973,0.0005933558,0.01413361,0.0146404,0.06672733],"study_design_scores_gemma":[0.00001708792,0.00002312073,0.9947864,0.00004095518,0.00001618826,0.00006898145,0.0002151319,0.0009872555,0.00003716734,0.001337761,0.002463908,0.000006010008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451431,0.007673431,0.0007655344,0.008207231,0.00006775806,0.00002207146,0.01404633,0.0001492762,0.02392538],"genre_scores_gemma":[0.9928733,0.0009824163,0.00009064618,0.00004974277,0.0001411727,0.000008385372,0.003102542,0.00002613549,0.002725591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468617,"threshold_uncertainty_score":0.03210485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182987970635566,"score_gpt":0.2141559844482872,"score_spread":0.2023261047419316,"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."}}