{"id":"W4283732034","doi":"10.1177/08404704221104435","title":"Looking beyond parity: Gender wage gaps and the leadership labyrinth in the Canadian healthcare management workforce","year":2022,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Workforce; Health care; Wage; Liberian dollar; Demographic economics; Earnings; Gender pay gap; Business; Equity (law); Census; Political science; Labour economics; Economics; Economic growth; Sociology; Demography; Accounting; Finance; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006832243,0.0001832968,0.0002277871,0.0002468583,0.00491214,0.0002530633,0.001182821,0.00007210422,0.0001717555],"category_scores_gemma":[0.00002135722,0.0001439459,0.00007457972,0.0009224706,0.0004904652,0.00011838,0.0005761065,0.0007245444,0.0000134193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000859555,"about_ca_system_score_gemma":0.0001543202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3127581,"about_ca_topic_score_gemma":0.8066174,"domain_scores_codex":[0.9950887,0.00137705,0.0002913745,0.0004385698,0.00159546,0.001208826],"domain_scores_gemma":[0.9989951,0.0001317204,0.0001015057,0.0004625933,0.00004214533,0.0002668984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005387925,0.00002440222,0.01823143,0.000286426,0.00004606161,0.000244173,0.04450816,0.00002612992,4.261828e-9,0.8622195,0.02293648,0.05142338],"study_design_scores_gemma":[0.0007371233,0.0000339671,0.006893859,0.00004437493,0.00003507875,0.00000257795,0.5378087,0.0000191022,3.355796e-8,0.01127562,0.4430244,0.0001251256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00455615,0.006679536,0.00001903171,0.7434965,0.000943677,0.002809504,0.00003042778,0.00007062129,0.2413945],"genre_scores_gemma":[0.9026213,0.001675977,0.00004898319,0.0911665,0.0001007856,0.0002313168,0.00003388619,0.0000141196,0.004107184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8980651,"threshold_uncertainty_score":0.9963833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07999772992138422,"score_gpt":0.305721661458046,"score_spread":0.2257239315366618,"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."}}