{"id":"W2998859092","doi":"10.7202/1066633ar","title":"Earnings Differences among Senior University Administrators: Evidence by Gender and Academic Field","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Earnings; Inequality; Gender pay gap; Field (mathematics); Demographic economics; Political science; Sociology; Accounting; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009160548,0.0001862778,0.0003318223,0.002230726,0.001699353,0.001059047,0.0005548471,0.0002225313,0.00266038],"category_scores_gemma":[0.004882175,0.0001400024,0.0002545524,0.004114946,0.0009261712,0.0004733189,0.0008526954,0.0003062521,0.0002858979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004565513,"about_ca_system_score_gemma":0.00702191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8830173,"about_ca_topic_score_gemma":0.9538922,"domain_scores_codex":[0.9987074,0.0001042513,0.00006242887,0.0001148556,0.0004889392,0.0005221723],"domain_scores_gemma":[0.9948766,0.0005598051,0.001975638,0.0001433942,0.001320311,0.001124307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005007557,0.00001179935,0.9947717,0.00001007092,0.00001253304,0.00003301055,0.001255677,0.00002258583,0.00005273798,0.0001501917,0.0005088202,0.00312073],"study_design_scores_gemma":[0.00000155168,0.00000655089,0.9978211,0.000009885401,0.000004232377,0.000008517205,0.001553146,0.00001932281,0.0000128145,0.00002769042,0.0005333781,0.000001907689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949898,0.0004536533,0.00004455738,0.0002975111,0.00000780894,0.000004793828,0.0009690881,0.000002069682,0.0032306],"genre_scores_gemma":[0.9985437,0.0002960294,0.00002321004,0.00003530106,0.000007841601,0.000003084637,0.0004375569,0.000001421428,0.0006518062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954345,"threshold_uncertainty_score":0.2353432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06506397755143417,"score_gpt":0.3637696415887487,"score_spread":0.2987056640373145,"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."}}