{"id":"W3194195654","doi":"10.2478/admin-2021-0020","title":"The gender pay gap in Revenue","year":2021,"lang":"en","type":"article","venue":"Administration","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender pay gap; Gender gap; Quarter (Canadian coin); Revenue; Civil service; Demographic economics; Scale (ratio); Labour economics; Work (physics); Economics; Point (geometry); Public service; Wage; Political science; Finance; Public administration; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501543,0.0001075015,0.0002808545,0.001143463,0.0003481443,0.001365007,0.0003154784,0.0002509452,0.007039492],"category_scores_gemma":[0.00736729,0.00006118404,0.0002385115,0.001146543,0.0005719856,0.0008259113,0.001102739,0.0006536286,0.0007659456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007176761,"about_ca_system_score_gemma":0.0005450919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063711,"about_ca_topic_score_gemma":0.002022563,"domain_scores_codex":[0.998522,0.000406753,0.00005490956,0.0001539649,0.0004661227,0.0003963194],"domain_scores_gemma":[0.9955288,0.002154664,0.00112506,0.000239311,0.0006515155,0.000300648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000335255,0.0001940518,0.9037047,0.0000714534,0.00006133237,0.0001662364,0.002376241,0.001065563,0.0004424434,0.03730316,0.004987416,0.04929218],"study_design_scores_gemma":[0.000005802368,0.00009794122,0.980489,0.00006643576,0.00001514078,0.0001300547,0.004294605,0.001390455,0.0003980292,0.006474489,0.006629238,0.000008718406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793428,0.0004645004,0.0006379058,0.0009432111,0.00004374798,0.000009861586,0.0009372205,0.00001069838,0.01760999],"genre_scores_gemma":[0.9989962,0.00004481796,0.00004291411,0.00002729158,0.00001161646,0.000002922437,0.0001497927,0.000001827521,0.000722679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007039492,"threshold_uncertainty_score":0.02354944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05536990234578531,"score_gpt":0.266685081317859,"score_spread":0.2113151789720737,"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."}}