{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002654509,0.00006887558,0.0001101629,0.0001052642,0.0004129605,0.00008591332,0.000264134,0.00008552586,0.0009148217],"category_scores_gemma":[0.0005713949,0.00006935045,0.00002873212,0.0002441615,0.000285317,0.0004972529,0.000009876643,0.0003378326,0.000008085794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001780941,"about_ca_system_score_gemma":0.004619674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179733,"about_ca_topic_score_gemma":0.003677119,"domain_scores_codex":[0.9990657,0.000208572,0.0001471416,0.0001205022,0.0002344065,0.0002236861],"domain_scores_gemma":[0.9982142,0.0002450563,0.0001562945,0.00004640111,0.0002832255,0.001054853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005382268,0.000005061499,0.7923974,0.00001089396,0.00001456392,0.000003168901,0.02259176,9.418181e-8,0.00004962854,0.0005127909,0.1840961,0.0003130681],"study_design_scores_gemma":[0.00004520651,0.00006124978,0.5885285,0.00004714483,0.00001739212,0.000001132478,0.01512501,2.258533e-7,0.000031824,0.00007207092,0.395995,0.00007527943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431845,0.004362734,0.00001221238,0.04994572,0.0005084355,0.00008929297,0.000003672686,0.000006594914,0.001886858],"genre_scores_gemma":[0.992698,0.0004304684,0.00006656321,0.0008411796,0.0004722991,6.171374e-7,6.315569e-7,0.000004111161,0.005486089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2118988,"threshold_uncertainty_score":0.9999985,"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."}}