{"id":"W3170334471","doi":"10.3982/qe1846","title":"Four decades of Canadian earnings inequality and dynamics across workers and firms","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Bank of Canada; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Earnings; Inequality; Labour economics; Earnings growth; Economics; Distribution (mathematics); Volatility (finance); Demographic economics; Business cycle; Business; Accounting; Financial economics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00128277,0.0003881125,0.0004892456,0.005674004,0.004936896,0.003511063,0.0008799067,0.0006819919,0.005480501],"category_scores_gemma":[0.003776825,0.0003245673,0.0005822384,0.0133232,0.001821252,0.001400962,0.002490903,0.001755611,0.0003772856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05893006,"about_ca_system_score_gemma":0.06206922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960406,"about_ca_topic_score_gemma":0.9966277,"domain_scores_codex":[0.9983643,0.00004280695,0.00006107715,0.0002045422,0.0006609355,0.0006664938],"domain_scores_gemma":[0.9957907,0.000243664,0.0006279309,0.0001438771,0.002417086,0.0007767811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006895029,0.00009488114,0.6790687,0.0004731505,0.000210382,0.0007672078,0.02244624,0.002152457,0.00126616,0.0310657,0.04541492,0.2163507],"study_design_scores_gemma":[0.000005542386,0.00001349458,0.9578291,0.0001767375,0.00001765871,0.00006139454,0.003960533,0.000289789,0.0001918922,0.0003606811,0.03705391,0.00003927594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940724,0.01732707,0.001005942,0.02032971,0.0002623242,0.00007355503,0.02465803,0.0001268971,0.04214421],"genre_scores_gemma":[0.9729666,0.007348537,0.0006163155,0.001001484,0.000114391,0.00002060401,0.006283756,0.00003934463,0.01160894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05893006,"threshold_uncertainty_score":0.4275694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149140714250848,"score_gpt":0.4073977047588697,"score_spread":0.2924836333337849,"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."}}