{"id":"W2093844646","doi":"10.1007/s12122-013-9171-3","title":"The Effects of Being Out of the Labor Market on Subsequent Wages: Evidence for Uruguay","year":2013,"lang":"en","type":"article","venue":"Journal of Labor Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Earnings; Quarter (Canadian coin); Economics; Labour economics; Wage; Sample (material); Wage growth; Social security; Real wages; Finance; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006881632,0.0001019793,0.000312403,0.0001256018,0.0009646254,0.00001734972,0.0006704218,0.00007808644,0.0001046489],"category_scores_gemma":[0.0140312,0.00004545446,0.0001480428,0.0003454551,0.0002487872,0.0001453119,0.0002426514,0.000905284,0.00001276417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412215,"about_ca_system_score_gemma":0.0004362207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388255,"about_ca_topic_score_gemma":0.0001304403,"domain_scores_codex":[0.9956877,0.00186116,0.0007274377,0.0001078173,0.001100427,0.0005154247],"domain_scores_gemma":[0.9755333,0.02049626,0.0005466091,0.0003562379,0.002980416,0.00008716078],"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":[0.001680859,0.0002719686,0.4529749,0.003928556,0.0004903321,0.000009803072,0.01712156,0.000002392884,0.0359409,0.01013738,0.4683415,0.009099792],"study_design_scores_gemma":[0.002127787,0.002370618,0.8996413,0.01084254,0.00007074676,9.98974e-7,0.008091776,0.00001679682,0.01468787,0.008979985,0.05303202,0.0001375965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477892,0.003199757,0.000004818216,0.0448653,0.001051786,0.001757635,0.000009896934,0.000004042657,0.001317589],"genre_scores_gemma":[0.9860101,0.003456319,0.00004938872,0.0002366159,0.00040031,0.0001556939,1.35366e-7,0.00001972048,0.009671698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4466663,"threshold_uncertainty_score":0.994274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832232669576667,"score_gpt":0.5288324684705449,"score_spread":0.3456092015128782,"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."}}