{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007935368,0.000103439,0.0002544835,0.0001421973,0.001282769,0.000007564635,0.00007701848,0.00004892165,0.00007098829],"category_scores_gemma":[0.0001386182,0.0001094133,0.00002344475,0.0001381484,0.0001610444,0.00009087854,0.0002337732,0.0002983617,0.00000440882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103334,"about_ca_system_score_gemma":0.0001404251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1022764,"about_ca_topic_score_gemma":0.3487006,"domain_scores_codex":[0.9989151,0.0002090833,0.0003252325,0.0001999043,0.00003852797,0.000312088],"domain_scores_gemma":[0.9989494,0.0005750112,0.0002264811,0.00009533545,0.00004857723,0.0001051992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003925176,0.000005892453,0.9501366,0.00004974346,0.00005427087,9.34569e-7,0.02148277,0.00004492446,0.000001231826,0.02687804,0.0006097187,0.0006966098],"study_design_scores_gemma":[0.000513969,0.0001583391,0.8674679,0.00002344517,0.00001283085,7.384654e-7,0.103901,0.001393899,9.405319e-7,0.002118692,0.02425091,0.0001573861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937131,0.0002118405,0.00002667522,0.003086554,0.0002101371,0.000257299,0.0004872014,0.00001330456,0.00199386],"genre_scores_gemma":[0.997925,0.0003384555,0.0006356588,0.0003177105,0.00001758963,0.00005381499,0.00002883591,0.00001587474,0.0006670931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464243,"threshold_uncertainty_score":0.9866156,"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."}}