{"id":"W2047951778","doi":"10.2202/1935-1682.2378","title":"Long-Run Earnings Inequality and Earnings Instability among Canadian Men Revisited, 1985-2005","year":2010,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Earnings; Economics; Variance (accounting); Recession; Pace; Demographic economics; Inequality; Sample (material); Econometrics; Contrast (vision); Great recession; Labour economics; Macroeconomics; Mathematics; Geography; Accounting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001460461,0.0003145837,0.000414069,0.002244958,0.002155144,0.001703338,0.001086225,0.0004406724,0.002237337],"category_scores_gemma":[0.004147461,0.0001650856,0.0006139407,0.004968057,0.0007482587,0.0005239345,0.0007443335,0.0008803013,0.0001164045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03167998,"about_ca_system_score_gemma":0.02634745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954028,"about_ca_topic_score_gemma":0.9966571,"domain_scores_codex":[0.9994635,0.00003278606,0.00002400916,0.00007407432,0.0001742478,0.0002313348],"domain_scores_gemma":[0.9979542,0.0002052807,0.0006011567,0.00008508613,0.000801778,0.0003523797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000126413,0.00002927205,0.9822248,0.00003941164,0.0001124293,0.00009705443,0.001027182,0.001632863,0.00007355666,0.00243048,0.003042117,0.009164368],"study_design_scores_gemma":[0.000003418201,0.000008817341,0.9957984,0.0000334766,0.00002540839,0.00001419862,0.0008372892,0.001573204,0.00004977783,0.0001490909,0.001494345,0.00001269275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822333,0.002169677,0.00023743,0.001510109,0.00002176453,0.00001910825,0.009825999,0.00001723208,0.003965455],"genre_scores_gemma":[0.996523,0.0003942245,0.00008468961,0.00004591199,0.000008789314,0.000003769664,0.002261812,0.000001540191,0.0006761633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03167998,"threshold_uncertainty_score":0.2298555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243886089780571,"score_gpt":0.2424377280287242,"score_spread":0.2299988671309184,"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."}}